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ORCIDMatthias Nießner
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- affiliation: Technical University of Munich, Germany
- affiliation (former): Stanford University
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2020 – today
- 2024
[j45]Ryan Po, Wang Yifan
, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43(2): i-iii (2024)- [c142]Jiapeng Tang, Angela Dai, Yinyu Nie, Lev Markhasin, Justus Thies, Matthias Nießner:
DPHMs: Diffusion Parametric Head Models for Depth-Based Tracking. CVPR 2024: 1111-1122 - [c141]Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. CVPR Workshops 2024: 4356-4366 - [c140]Lukas Höllein, Aljaz Bozic, Norman Müller, David Novotný, Hung-Yu Tseng, Christian Richardt, Michael Zollhöfer, Matthias Nießner:
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models. CVPR 2024: 5043-5052 - [c139]Peter Kocsis, Vincent Sitzmann, Matthias Nießner:
Intrinsic Image Diffusion for Indoor Single-view Material Estimation. CVPR 2024: 5198-5208 - [c138]Tobias Kirschstein, Simon Giebenhain, Matthias Nießner:
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars. CVPR 2024: 5481-5492 - [c137]Peter Kocsis, Julien Philip, Kalyan Sunkavalli, Matthias Nießner, Yannick Hold-Geoffroy:
LightIt: Illumination Modeling and Control for Diffusion Models. CVPR 2024: 9359-9369 - [c136]Norman Müller, Katja Schwarz, Barbara Rössle, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
MultiDiff: Consistent Novel View Synthesis from a Single Image. CVPR 2024: 10258-10268 - [c135]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos. CVPR 2024: 10747-10758 - [c134]Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner:
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CVPR 2024: 19615-19625 - [c133]Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner:
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians. CVPR 2024: 20299-20309 - [c132]Wei Cao, Chang Luo, Biao Zhang, Matthias Nießner, Jiapeng Tang:
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-Rigid Shape Reconstruction and Tracking. CVPR 2024: 20496-20506 - [c131]Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner:
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis. CVPR 2024: 20507-20518 - [c130]Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CVPR 2024: 21081-21091 - [c129]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models. CVPR 2024: 21263-21273 - [c128]Davide Cozzolino, Giovanni Poggi, Matthias Nießner, Luisa Verdoliva:
Zero-Shot Detection of AI-Generated Images. ECCV (18) 2024: 54-72 - [c127]Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner:
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. ECCV (9) 2024: 173-191 - [c126]Ananta R. Bhattarai, Matthias Nießner, Artem Sevastopolsky:
TriPlaneNet: An Encoder for EG3D Inversion. WACV 2024: 3043-3053 - [i162]Wei Cao, Chang Luo, Biao Zhang, Matthias Nießner, Jiapeng Tang:
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking. CoRR abs/2401.06614 (2024) - [i161]Lukas Höllein, Aljaz Bozic, Norman Müller, David Novotný, Hung-Yu Tseng, Christian Richardt, Michael Zollhöfer, Matthias Nießner:
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models. CoRR abs/2403.01807 (2024) - [i160]Peter Kocsis, Julien Philip, Kalyan Sunkavalli, Matthias Nießner, Yannick Hold-Geoffroy:
LightIt: Illumination Modeling and Control for Diffusion Models. CoRR abs/2403.10615 (2024) - [i159]Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov:
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans. CoRR abs/2403.16318 (2024) - [i158]Kutay Yilmaz, Matthias Nießner, Anastasiia Kornilova, Alexey Artemov:
DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping. CoRR abs/2403.17550 (2024) - [i157]Yujin Chen, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Nießner:
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation. CoRR abs/2403.19319 (2024) - [i156]Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu:
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR abs/2405.10255 (2024) - [i155]Simon Giebenhain, Tobias Kirschstein, Martin Rünz, Lourdes Agapito, Matthias Nießner:
NPGA: Neural Parametric Gaussian Avatars. CoRR abs/2405.19331 (2024) - [i154]Tobias Kirschstein, Simon Giebenhain, Jiapeng Tang, Markos Georgopoulos, Matthias Nießner:
GGHead: Fast and Generalizable 3D Gaussian Heads. CoRR abs/2406.09377 (2024) - [i153]Norman Müller, Katja Schwarz, Barbara Roessle, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
MultiDiff: Consistent Novel View Synthesis from a Single Image. CoRR abs/2406.18524 (2024) - [i152]Paul Ungermann, Armin Ettenhofer, Matthias Nießner, Barbara Roessle:
Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors. CoRR abs/2408.11697 (2024) - [i151]Adil Meric, Umut Kocasari, Matthias Nießner, Barbara Roessle:
G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields across Scenes and Styles. CoRR abs/2408.13508 (2024) - [i150]Quan Meng, Lei Li, Matthias Nießner, Angela Dai:
LT3SD: Latent Trees for 3D Scene Diffusion. CoRR abs/2409.08215 (2024) - [i149]Lukas Höllein, Aljaz Bozic, Michael Zollhöfer, Matthias Nießner:
3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt. CoRR abs/2409.12892 (2024) - [i148]Davide Cozzolino, Giovanni Poggi, Matthias Nießner, Luisa Verdoliva:
Zero-Shot Detection of AI-Generated Images. CoRR abs/2409.15875 (2024) - 2023
- [j44]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment Using Multi-View Constraints From Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1320-1327 (2023) - [j43]Anis Farshian, Markus Götz, Gabriele Cavallaro, Charlotte Debus, Matthias Nießner, Jón Atli Benediktsson, Achim Streit:
Deep-Learning-Based 3-D Surface Reconstruction - A Survey. Proc. IEEE 111(11): 1464-1501 (2023) - [j42]Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka:
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. ACM Trans. Graph. 42(4): 92:1-92:16 (2023) - [j41]Mustafa Isik, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, Matthias Nießner:
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. ACM Trans. Graph. 42(4): 160:1-160:12 (2023) - [j40]Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner:
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads. ACM Trans. Graph. 42(4): 161:1-161:14 (2023) - [j39]Barbara Roessle, Norman Müller, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields. ACM Trans. Graph. 42(6): 207:1-207:14 (2023) - [c125]Shivangi Aneja, Chris Bregler, Matthias Nießner:
COSMOS: Catching Out-of-Context Image Misuse Using Self-Supervised Learning. AAAI 2023: 14084-14092 - [c124]Mohammed Munzer Dwedari, Matthias Nießner, Dave Zhenyu Chen:
Generating Context-Aware Natural Answers for Questions in 3D Scenes. BMVC 2023: 596-597 - [c123]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Learning 3D Scene Priors with 2D Supervision. CVPR 2023: 792-802 - [c122]Davide Cozzolino, Alessandro Pianese, Matthias Nießner, Luisa Verdoliva:
Audio-Visual Person-of-Interest DeepFake Detection. CVPR Workshops 2023: 943-952 - [c121]Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. CVPR 2023: 4328-4338 - [c120]Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, Peter Kontschieder:
Panoptic Lifting for 3D Scene Understanding with Neural Fields. CVPR 2023: 9043-9052 - [c119]Can Gümeli, Angela Dai, Matthias Nießner:
ObjectMatch: Robust Registration using Canonical Object Correspondences. CVPR 2023: 13082-13091 - [c118]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. CVPR 2023: 13510-13519 - [c117]Dejan Azinovic, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies:
High-Res Facial Appearance Capture from Polarized Smartphone Images. CVPR 2023: 16836-16846 - [c116]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
Learning Neural Parametric Head Models. CVPR 2023: 21003-21012 - [c115]Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai:
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. ICCV 2023: 12-22 - [c114]Barbara Roessle, Matthias Nießner:
End2End Multi-View Feature Matching with Differentiable Pose Optimization. ICCV 2023: 477-487 - [c113]Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner:
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. ICCV 2023: 7875-7886 - [c112]Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. ICCV 2023: 14254-14264 - [c111]Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang:
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding. ICCV 2023: 18063-18073 - [c110]Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
Text2Tex: Text-driven Texture Synthesis via Diffusion Models. ICCV 2023: 18512-18522 - [c109]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. ICCV 2023: 20132-20142 - [c108]Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner:
How to Boost Face Recognition with StyleGAN? ICCV 2023: 20867-20877 - [c107]Abdullah Hamdi, Bernard Ghanem, Matthias Nießner:
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images. ICCV (Workshops) 2023: 2922-2932 - [c106]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. NeurIPS 2023 - [c105]Shentong Mo, Enze Xie, Ruihang Chu, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. NeurIPS 2023 - [c104]Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. NeurIPS 2023 - [c103]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
ClipFace: Text-guided Editing of Textured 3D Morphable Models. SIGGRAPH (Conference Paper Track) 2023: 70:1-70:11 - [i147]Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka:
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. CoRR abs/2301.11445 (2023) - [i146]Junwen Huang, Alexey Artemov, Yujin Chen, Shuaifeng Zhi, Kai Xu, Matthias Nießner:
S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans. CoRR abs/2302.03640 (2023) - [i145]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. CoRR abs/2302.14746 (2023) - [i144]Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
Text2Tex: Text-driven Texture Synthesis via Diffusion Models. CoRR abs/2303.11396 (2023) - [i143]Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner:
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. CoRR abs/2303.11989 (2023) - [i142]Ananta R. Bhattarai, Matthias Nießner, Artem Sevastopolsky:
TriPlaneNet: An Encoder for EG3D Inversion. CoRR abs/2303.13497 (2023) - [i141]Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner:
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis. CoRR abs/2303.14207 (2023) - [i140]Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. CoRR abs/2303.17015 (2023) - [i139]Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner:
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads. CoRR abs/2305.03027 (2023) - [i138]Mustafa Isik, Martin Rünz, Markos Georgopoulos, Taras Khakhulin, Jonathan Starck, Lourdes Agapito, Matthias Nießner:
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion. CoRR abs/2305.06356 (2023) - [i137]Barbara Roessle, Norman Müller, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields. CoRR abs/2306.06044 (2023) - [i136]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. CoRR abs/2306.09011 (2023) - [i135]Denys Rozumnyi, Stefan Popov, Kevis-Kokitsi Maninis, Matthias Nießner, Vittorio Ferrari:
Estimating Generic 3D Room Structures from 2D Annotations. CoRR abs/2306.09077 (2023) - [i134]Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia:
DiffComplete: Diffusion-based Generative 3D Shape Completion. CoRR abs/2306.16329 (2023) - [i133]Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li:
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation. CoRR abs/2307.01831 (2023) - [i132]Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai:
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. CoRR abs/2308.11417 (2023) - [i131]Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. CoRR abs/2310.07204 (2023) - [i130]Mohammed Munzer Dwedari, Matthias Nießner, Dave Zhenyu Chen:
Generating Context-Aware Natural Answers for Questions in 3D Scenes. CoRR abs/2310.19516 (2023) - [i129]Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Nießner:
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers. CoRR abs/2311.15475 (2023) - [i128]Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner:
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. CoRR abs/2311.17261 (2023) - [i127]Natalia Soboleva, Olga Gorbunova, Maria Ivanova, Evgeny Burnaev, Matthias Nießner, Denis Zorin, Alexey Artemov:
PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing. CoRR abs/2311.18494 (2023) - [i126]Tobias Kirschstein, Simon Giebenhain, Matthias Nießner:
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars. CoRR abs/2311.18635 (2023) - [i125]Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. CoRR abs/2312.00195 (2023) - [i124]Jiapeng Tang, Angela Dai, Yinyu Nie, Lev Markhasin, Justus Thies, Matthias Nießner:
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking. CoRR abs/2312.01068 (2023) - [i123]Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner:
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians. CoRR abs/2312.02069 (2023) - [i122]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos. CoRR abs/2312.06740 (2023) - [i121]Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li:
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. CoRR abs/2312.07231 (2023) - [i120]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models. CoRR abs/2312.08459 (2023) - [i119]Antonio Alliegro, Yawar Siddiqui, Tatiana Tommasi, Matthias Nießner:
PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models. CoRR abs/2312.11417 (2023) - [i118]Peter Kocsis, Vincent Sitzmann, Matthias Nießner:
Intrinsic Image Diffusion for Single-view Material Estimation. CoRR abs/2312.12274 (2023) - [i117]Artem Sevastopolsky, Philip-William Grassal, Simon Giebenhain, ShahRukh Athar, Luisa Verdoliva, Matthias Nießner:
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs. CoRR abs/2312.14140 (2023) - 2022
- [j38]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik:
Advances in Neural Rendering. Comput. Graph. Forum 41(2): 703-735 (2022) - [c102]Luca Guarnera, Oliver Giudice, Matthias Nießner, Sebastiano Battiato:
On the Exploitation of Deepfake Model Recognition. CVPR Workshops 2022: 61-70 - [c101]Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
AutoRF: Learning 3D Object Radiance Fields from Single View Observations. CVPR 2022: 3961-3970 - [c100]Can Gümeli, Angela Dai, Matthias Nießner:
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. CVPR 2022: 4012-4021 - [c99]Lukas Höllein, Justin Johnson, Matthias Nießner:
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CVPR 2022: 6188-6198 - [c98]Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies:
Neural RGB-D Surface Reconstruction. CVPR 2022: 6280-6291 - [c97]Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner:
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. CVPR 2022: 12882-12891 - [c96]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CVPR 2022: 18632-18643 - [c95]Shivangi Aneja, Lev Markhasin, Matthias Nießner:
TAFIM: Targeted Adversarial Attacks Against Facial Image Manipulations. ECCV (14) 2022: 58-75 - [c94]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. ECCV (3) 2022: 72-88 - [c93]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Pose2Room: Understanding 3D Scenes from Human Activities. ECCV (27) 2022: 425-443 - [c92]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. ECCV (3) 2022: 485-502 - [c91]Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang:
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding. ECCV (32) 2022: 487-505 - [c90]Yujin Chen, Matthias Nießner, Angela Dai:
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding. ECCV (32) 2022: 543-560 - [c89]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. ECCV (31) 2022: 665-680 - [c88]Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi:
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS 2022 - [c87]Biao Zhang, Matthias Nießner, Peter Wonka:
3DILG: Irregular Latent Grids for 3D Generative Modeling. NeurIPS 2022 - [c86]Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner:
Neural Shape Deformation Priors. NeurIPS 2022 - [c85]Jiemin Fang, Taoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, Qi Tian:
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels. SIGGRAPH Asia 2022: 11:1-11:9 - [i116]Di Chang, Aljaz Bozic, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner:
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering. CoRR abs/2203.03949 (2022) - [i115]Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves:
3D Equivariant Graph Implicit Functions. CoRR abs/2203.17178 (2022) - [i114]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. CoRR abs/2204.02411 (2022) - [i113]Davide Cozzolino, Matthias Nießner, Luisa Verdoliva:
Audio-Visual Person-of-Interest DeepFake Detection. CoRR abs/2204.03083 (2022) - [i112]Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder:
AutoRF: Learning 3D Object Radiance Fields from Single View Observations. CoRR abs/2204.03593 (2022) - [i111]Luca Guarnera, Oliver Giudice, Matthias Nießner, Sebastiano Battiato:
On the Exploitation of Deepfake Model Recognition. CoRR abs/2204.04513 (2022) - [i110]Barbara Roessle, Matthias Nießner:
End2End Multi-View Feature Matching using Differentiable Pose Optimization. CoRR abs/2205.01694 (2022) - [i109]Biao Zhang, Matthias Nießner, Peter Wonka:
3DILG: Irregular Latent Grids for 3D Generative Modeling. CoRR abs/2205.13914 (2022) - [i108]Jiemin Fang, Taoran Yi, Xinggang Wang, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, Qi Tian:
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels. CoRR abs/2205.15285 (2022) - [i107]Dominik Schmauser, Zeju Qiu, Norman Müller, Matthias Nießner:
3D Multi-Object Tracking with Differentiable Pose Estimation. CoRR abs/2206.13785 (2022) - [i106]Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner:
Neural Shape Deformation Priors. CoRR abs/2210.05616 (2022) - [i105]Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi:
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. CoRR abs/2210.05657 (2022) - [i104]Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner:
How to Boost Face Recognition with StyleGAN? CoRR abs/2210.10090 (2022) - [i103]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Learning 3D Scene Priors with 2D Supervision. CoRR abs/2211.14157 (2022) - [i102]Angela Dai, Matthias Nießner:
Neural Poisson: Indicator Functions for Neural Fields. CoRR abs/2211.14249 (2022) - [i101]Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang:
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding. CoRR abs/2212.00836 (2022) - [i100]Dejan Azinovic, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies:
High-Res Facial Appearance Capture from Polarized Smartphone Images. CoRR abs/2212.01160 (2022) - [i99]Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. CoRR abs/2212.01206 (2022) - [i98]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
ClipFace: Text-guided Editing of Textured 3D Morphable Models. CoRR abs/2212.01406 (2022) - [i97]Can Gümeli, Angela Dai, Matthias Nießner:
ObjectMatch: Robust Registration using Canonical Object Correspondences. CoRR abs/2212.01985 (2022) - [i96]Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
Learning Neural Parametric Head Models. CoRR abs/2212.02761 (2022) - [i95]Abdullah Hamdi, Bernard Ghanem, Matthias Nießner:
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images. CoRR abs/2212.09100 (2022) - [i94]Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, Peter Kontschieder:
Panoptic Lifting for 3D Scene Understanding with Neural Fields. CoRR abs/2212.09802 (2022) - 2021
- [j37]Yu-Shiang Wong, Changjian Li, Matthias Nießner, Niloy J. Mitra:
RigidFusion: RGB-D Scene Reconstruction with Rigidly-moving Objects. Comput. Graph. Forum 40(2): 511-522 (2021) - [j36]Michael Mara, Felix Heide, Michael Zollhöfer, Matthias Nießner, Pat Hanrahan:
Thallo - Scheduling for High-Performance Large-Scale Non-Linear Least-Squares Solvers. ACM Trans. Graph. 40(5): 184:1-184:14 (2021) - [c84]Xinpeng Wang, Chandan Yeshwanth, Matthias Nießner:
SceneFormer: Indoor Scene Generation with Transformers. 3DV 2021: 106-115 - [c83]Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox:
Explicitly Modeled Attention Maps for Image Classification. AAAI 2021: 9799-9807 - [c82]Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva:
SpoC: Spoofing Camera Fingerprints. CVPR Workshops 2021: 990-1000 - [c81]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction. CVPR 2021: 1450-1459 - [c80]Angela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin, Matthias Nießner:
SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans. CVPR 2021: 1747-1756 - [c79]Dave Zhenyu Chen, Ali Gholami, Matthias Nießner, Angel X. Chang:
Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans. CVPR 2021: 3193-3203 - [c78]Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner:
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. CVPR 2021: 4608-4618 - [c77]Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner:
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences. CVPR 2021: 6071-6080 - [c76]Guy Gafni, Justus Thies, Michael Zollhöfer, Matthias Nießner:
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction. CVPR 2021: 8649-8658 - [c75]Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie:
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. CVPR 2021: 15587-15597 - [c74]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? ICCV 2021: 5673-5682 - [c73]Andrei Burov, Matthias Nießner, Justus Thies:
Dynamic Surface Function Networks for Clothed Human Bodies. ICCV 2021: 10734-10744 - [c72]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database. ICCV 2021: 12548-12557 - [c71]Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai:
NPMs: Neural Parametric Models for 3D Deformable Shapes. ICCV 2021: 12675-12685 - [c70]Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner:
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface. ICCV 2021: 12686-12696 - [c69]Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva:
ID-Reveal: Identity-aware DeepFake Video Detection. ICCV 2021: 15088-15097 - [c68]Matthias Nießner:
Why Neural Rendering Amazing. IMPROVE 2021: 5 - [c67]Aljaz Bozic, Pablo R. Palafox, Justus Thies, Angela Dai, Matthias Nießner:
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. NeurIPS 2021: 1403-1414 - [c66]Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. NeurIPS 2021: 8282-8293 - [c65]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, Lingjie Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer:
Advances in neural rendering. SIGGRAPH Courses 2021: 1:1-1:320 - [i93]Shivangi Aneja, Christoph Bregler, Matthias Nießner:
Catching Out-of-Context Misinformation with Self-supervised Learning. CoRR abs/2101.06278 (2021) - [i92]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database. CoRR abs/2104.00024 (2021) - [i91]Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai:
NPMs: Neural Parametric Models for 3D Deformable Shapes. CoRR abs/2104.00702 (2021) - [i90]Andrei Burov, Matthias Nießner, Justus Thies:
Dynamic Surface Function Networks for Clothed Human Bodies. CoRR abs/2104.03978 (2021) - [i89]Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies:
Neural RGB-D Surface Reconstruction. CoRR abs/2104.04532 (2021) - [i88]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? CoRR abs/2104.11225 (2021) - [i87]Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner:
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface. CoRR abs/2105.01905 (2021) - [i86]Aljaz Bozic, Pablo R. Palafox, Justus Thies, Angela Dai, Matthias Nießner:
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. CoRR abs/2107.02191 (2021) - [i85]Mohamed Elgharib, Mohit Mendiratta, Justus Thies, Matthias Nießner, Hans-Peter Seidel, Ayush Tewari, Vladislav Golyanik, Christian Theobalt:
Egocentric Videoconferencing. CoRR abs/2107.03109 (2021) - [i84]Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Michael Alexander Riegler, Pål Halvorsen, Matthias Nießner, Balu Adsumilli, Chris Bregler:
MMSys'21 Grand Challenge on Detecting Cheapfakes. CoRR abs/2107.05297 (2021) - [i83]Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. CoRR abs/2111.02444 (2021) - [i82]Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul P. Srinivasan, Edgar Tretschk, Wang Yifan, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Nießner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, Vladislav Golyanik:
Advances in Neural Rendering. CoRR abs/2111.05849 (2021) - [i81]Lukas Höllein, Justin Johnson, Matthias Nießner:
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. CoRR abs/2112.01530 (2021) - [i80]Dave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang:
D3Net: A Speaker-Listener Architecture for Semi-supervised Dense Captioning and Visual Grounding in RGB-D Scans. CoRR abs/2112.01551 (2021) - [i79]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CoRR abs/2112.01554 (2021) - [i78]Can Gümeli, Angela Dai, Matthias Nießner:
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. CoRR abs/2112.01988 (2021) - [i77]Yujin Chen, Matthias Nießner, Angela Dai:
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding. CoRR abs/2112.02990 (2021) - [i76]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Pose2Room: Understanding 3D Scenes from Human Activities. CoRR abs/2112.03030 (2021) - [i75]Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner:
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. CoRR abs/2112.03288 (2021) - [i74]Shivangi Aneja, Lev Markhasin, Matthias Nießner:
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations. CoRR abs/2112.09151 (2021) - 2020
- [j35]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. Comput. Graph. Forum 39(2): 701-727 (2020) - [j34]Mohamed Elgharib, Mohit Mendiratta, Justus Thies, Matthias Nießner, Hans-Peter Seidel, Ayush Tewari, Vladislav Golyanik, Christian Theobalt:
Egocentric videoconferencing. ACM Trans. Graph. 39(6): 268:1-268:16 (2020) - [j33]Nazim Haouchine, Frédérick Roy, Hadrien Courtecuisse, Matthias Nießner, Stephane Cotin:
Calipso: physics-based image and video editing through CAD model proxies. Vis. Comput. 36(1): 211-226 (2020) - [c64]Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Varun Jampani, Matthias Nießner, Andreas Geiger, Carsten Rother:
Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. 3DV 2020: 1176-1185 - [c63]Angela Dai, Christian Diller, Matthias Nießner:
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. CVPR 2020: 846-855 - [c62]Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization From RGB-D Scans. CVPR 2020: 1556-1565 - [c61]Ji Hou, Angela Dai, Matthias Nießner:
RevealNet: Seeing Behind Objects in RGB-D Scans. CVPR 2020: 2095-2104 - [c60]Thomas Frerix, Matthias Nießner, Daniel Cremers:
Homogeneous Linear Inequality Constraints for Neural Network Activations. CVPR Workshops 2020: 3229-3234 - [c59]Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner:
Learning to Optimize Non-Rigid Tracking. CVPR 2020: 4909-4917 - [c58]Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser:
Local Implicit Grid Representations for 3D Scenes. CVPR 2020: 6000-6009 - [c57]Aljaz Bozic, Michael Zollhöfer, Christian Theobalt, Matthias Nießner:
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data. CVPR 2020: 7000-7010 - [c56]Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Nießner:
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation. CVPR 2020: 9028-9037 - [c55]Yawar Siddiqui, Julien Valentin, Matthias Nießner:
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation. CVPR 2020: 9430-9440 - [c54]Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner:
ScanRefer: 3D Object Localization in RGB-D Scans Using Natural Language. ECCV (20) 2020: 202-221 - [c53]Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner:
Modeling 3D Shapes by Reinforcement Learning. ECCV (10) 2020: 545-561 - [c52]Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner:
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. ECCV (22) 2020: 596-612 - [c51]Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev:
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. ECCV (13) 2020: 599-628 - [c50]Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, Matthias Nießner:
Neural Voice Puppetry: Audio-Driven Facial Reenactment. ECCV (16) 2020: 716-731 - [c49]Matthias Nießner:
Semantic 3D Scene Understanding in RGB-D Scans. VISIGRAPP 2020: 5 - [c48]Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, Matthias Nießner:
Image-guided Neural Object Rendering. ICLR 2020 - [c47]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Angela Dai, Justus Thies, Matthias Nießner:
Neural Non-Rigid Tracking. NeurIPS 2020 - [c46]Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Nießner, Charles T. Loop, Marc Stamminger, Jan Kautz:
NRMVS: Non-Rigid Multi-View Stereo. WACV 2020: 2743-2752 - [e1]Jens H. Krüger, Matthias Nießner, Jörg Stückler:
25th International Symposium on Vision, Modeling and Visualization, VMV 2020, Tübingen, Germany, September 28 - October 1, 2020. Eurographics Association 2020, ISBN 978-3-03868-123-6 [contents] - [i73]Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization from RGB-D Scans. CoRR abs/2003.08400 (2020) - [i72]Chiyu Max Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Nießner, Thomas A. Funkhouser:
Local Implicit Grid Representations for 3D Scenes. CoRR abs/2003.08981 (2020) - [i71]Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner:
Learning to Optimize Non-Rigid Tracking. CoRR abs/2003.12230 (2020) - [i70]Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner:
Modeling 3D Shapes by Reinforcement Learning. CoRR abs/2003.12397 (2020) - [i69]Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner:
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. CoRR abs/2003.12622 (2020) - [i68]Francis Engelmann, Martin Bokeloh, Alireza Fathi, Bastian Leibe, Matthias Nießner:
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation. CoRR abs/2003.13867 (2020) - [i67]Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason M. Saragih, Matthias Nießner, Rohit Pandey, Sean Ryan Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, Michael Zollhöfer:
State of the Art on Neural Rendering. CoRR abs/2004.03805 (2020) - [i66]Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox:
Explicitly Modeled Attention Maps for Image Classification. CoRR abs/2006.07872 (2020) - [i65]Shivangi Aneja, Matthias Nießner:
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection. CoRR abs/2006.11863 (2020) - [i64]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Angela Dai, Justus Thies, Matthias Nießner:
Neural Non-Rigid Tracking. CoRR abs/2006.13240 (2020) - [i63]Angela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin, Matthias Nießner:
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans. CoRR abs/2006.14660 (2020) - [i62]Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies, Matthias Nießner, Andreas Geiger, Carsten Rother:
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition. CoRR abs/2006.16011 (2020) - [i61]Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Nießner, Denis Zorin, Evgeny Burnaev:
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans. CoRR abs/2007.11965 (2020) - [i60]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Face2Face: Real-time Face Capture and Reenactment of RGB Videos. CoRR abs/2007.14808 (2020) - [i59]Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner:
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. CoRR abs/2011.14744 (2020) - [i58]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction. CoRR abs/2012.01451 (2020) - [i57]Dave Zhenyu Chen, Ali Gholami, Matthias Nießner, Angel X. Chang:
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans. CoRR abs/2012.02206 (2020) - [i56]Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva:
ID-Reveal: Identity-aware DeepFake Video Detection. CoRR abs/2012.02512 (2020) - [i55]Guy Gafni, Justus Thies, Michael Zollhöfer, Matthias Nießner:
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction. CoRR abs/2012.03065 (2020) - [i54]Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari:
Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos. CoRR abs/2012.04641 (2020) - [i53]Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner:
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences. CoRR abs/2012.08197 (2020) - [i52]Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie:
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts. CoRR abs/2012.09165 (2020) - [i51]Xinpeng Wang, Chandan Yeshwanth, Matthias Nießner:
SceneFormer: Indoor Scene Generation with Transformers. CoRR abs/2012.09793 (2020)
2010 – 2019
- 2019
- [j32]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Face2Face: real-time face capture and reenactment of RGB videos. Commun. ACM 62(1): 96-104 (2019) - [j31]Lintao Zheng, Chenyang Zhu, Jiazhao Zhang, Hang Zhao, Hui Huang, Matthias Nießner, Kai Xu:
Active Scene Understanding via Online Semantic Reconstruction. Comput. Graph. Forum 38(7): 103-114 (2019) - [j30]Benjamin Hepp, Matthias Nießner, Otmar Hilliges:
Plan3D: Viewpoint and Trajectory Optimization for Aerial Multi-View Stereo Reconstruction. ACM Trans. Graph. 38(1): 4:1-4:17 (2019) - [j29]Justus Thies, Michael Zollhöfer, Matthias Nießner:
Deferred neural rendering: image synthesis using neural textures. ACM Trans. Graph. 38(4): 66:1-66:12 (2019) - [j28]Siyan Dong, Kai Xu, Qiang Zhou, Andrea Tagliasacchi, Shiqing Xin, Matthias Nießner, Baoquan Chen:
Multi-robot collaborative dense scene reconstruction. ACM Trans. Graph. 38(4): 84:1-84:16 (2019) - [c45]Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer:
DeepVoxels: Learning Persistent 3D Feature Embeddings. CVPR 2019: 2437-2446 - [c44]Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner:
Inverse Path Tracing for Joint Material and Lighting Estimation. CVPR 2019: 2447-2456 - [c43]Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner:
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. CVPR 2019: 2614-2623 - [c42]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. CVPR 2019: 4421-4430 - [c41]Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Nießner, Leonidas J. Guibas:
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes. CVPR 2019: 4440-4449 - [c40]Angela Dai, Matthias Nießner:
Scan2Mesh: From Unstructured Range Scans to 3D Meshes. CVPR 2019: 5574-5583 - [c39]Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner:
FaceForensics++: Learning to Detect Manipulated Facial Images. ICCV 2019: 1-11 - [c38]Armen Avetisyan, Angela Dai, Matthias Nießner:
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans. ICCV 2019: 2551-2560 - [c37]Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner:
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments. ICCV 2019: 7657-7666 - [c36]Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Joint Embedding of 3D Scan and CAD Objects. ICCV 2019: 8748-8757 - [c35]Chiyu Max Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner:
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals. ICCV 2019: 8768-8777 - [c34]Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner:
Spherical CNNs on Unstructured Grids. ICLR (Poster) 2019 - [c33]Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner:
Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation. ICLR (Poster) 2019 - [i50]Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner:
Spherical CNNs on Unstructured Grids. CoRR abs/1901.02039 (2019) - [i49]Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner:
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. CoRR abs/1901.02070 (2019) - [i48]Matthias Innmann, Kihwan Kim, Jinwei Gu, Matthias Nießner, Charles T. Loop, Marc Stamminger, Jan Kautz:
NRMVS: Non-Rigid Multi-View Stereo. CoRR abs/1901.03910 (2019) - [i47]Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner:
FaceForensics++: Learning to Detect Manipulated Facial Images. CoRR abs/1901.08971 (2019) - [i46]Chiyu Max Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner:
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals. CoRR abs/1901.11082 (2019) - [i45]Thomas Frerix, Matthias Nießner, Daniel Cremers:
Linear Inequality Constraints for Neural Network Activations. CoRR abs/1902.01785 (2019) - [i44]Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner:
Inverse Path Tracing for Joint Material and Lighting Estimation. CoRR abs/1903.07145 (2019) - [i43]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIC: 3D Semantic Instance Completion for RGB-D Scans. CoRR abs/1904.12012 (2019) - [i42]Justus Thies, Michael Zollhöfer, Matthias Nießner:
Deferred Neural Rendering: Image Synthesis using Neural Textures. CoRR abs/1904.12356 (2019) - [i41]Armen Avetisyan, Angela Dai, Matthias Nießner:
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans. CoRR abs/1906.04201 (2019) - [i40]Lintao Zheng, Chenyang Zhu, Jiazhao Zhang, Hang Zhao, Hui Huang, Matthias Nießner, Kai Xu:
Active Scene Understanding via Online Semantic Reconstruction. CoRR abs/1906.07409 (2019) - [i39]Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner:
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments. CoRR abs/1908.06109 (2019) - [i38]Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Joint Embedding of 3D Scan and CAD Objects. CoRR abs/1908.06989 (2019) - [i37]Yawar Siddiqui, Julien Valentin, Matthias Nießner:
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation. CoRR abs/1911.11789 (2019) - [i36]Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva:
SpoC: Spoofing Camera Fingerprints. CoRR abs/1911.12069 (2019) - [i35]Angela Dai, Christian Diller, Matthias Nießner:
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. CoRR abs/1912.00036 (2019) - [i34]Aljaz Bozic, Michael Zollhöfer, Christian Theobalt, Matthias Nießner:
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data. CoRR abs/1912.04302 (2019) - [i33]Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, Matthias Nießner:
Neural Voice Puppetry: Audio-driven Facial Reenactment. CoRR abs/1912.05566 (2019) - [i32]Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner:
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language. CoRR abs/1912.08830 (2019) - 2018
- [j27]Michael Zollhöfer, Justus Thies, Pablo Garrido, Derek Bradley, Thabo Beeler, Patrick Pérez, Marc Stamminger, Matthias Nießner, Christian Theobalt:
State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications. Comput. Graph. Forum 37(2): 523-550 (2018) - [j26]Michael Zollhöfer, Patrick Stotko, Andreas Görlitz, Christian Theobalt, Matthias Nießner, Reinhard Klein, Andreas Kolb:
State of the Art on 3D Reconstruction with RGB-D Cameras. Comput. Graph. Forum 37(2): 625-652 (2018) - [j25]Jingwei Huang, Yichao Zhou, Matthias Nießner, Jonathan Richard Shewchuk, Leonidas J. Guibas:
QuadriFlow: A Scalable and Robust Method for Quadrangulation. Comput. Graph. Forum 37(5): 147-160 (2018) - [j24]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
FaceVR: Real-Time Gaze-Aware Facial Reenactment in Virtual Reality. ACM Trans. Graph. 37(2): 25 (2018) - [j23]Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, Christian Theobalt:
Deep video portraits. ACM Trans. Graph. 37(4): 163 (2018) - [j22]Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, Matthias Nießner:
Headon: real-time reenactment of human portrait videos. ACM Trans. Graph. 37(4): 164 (2018) - [c32]Vignesh Ganapathi-Subramanian, Olga Diamanti, Sören Pirk, Chengcheng Tang, Matthias Nießner, Leonidas J. Guibas:
Parsing Geometry Using Structure-Aware Shape Templates. 3DV 2018: 672-681 - [c31]Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner:
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. CVPR 2018: 4578-4587 - [c30]Angela Dai, Matthias Nießner:
3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene Segmentation. ECCV (10) 2018: 458-474 - [c29]Yifei Shi, Kai Xu, Matthias Nießner, Szymon Rusinkiewicz, Thomas A. Funkhouser:
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction. ECCV (8) 2018: 767-784 - [i31]Justus Thies, Michael Zollhöfer, Matthias Nießner:
IMU2Face: Real-time Gesture-driven Facial Reenactment. CoRR abs/1801.01446 (2018) - [i30]Yifei Shi, Kai Xu, Matthias Nießner, Szymon Rusinkiewicz, Thomas A. Funkhouser:
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction. CoRR abs/1803.08407 (2018) - [i29]Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner:
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces. CoRR abs/1803.09179 (2018) - [i28]Angela Dai, Matthias Nießner:
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation. CoRR abs/1803.10409 (2018) - [i27]Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick Pérez, Christian Richardt, Michael Zollhöfer, Christian Theobalt:
Deep Video Portraits. CoRR abs/1805.11714 (2018) - [i26]Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, Matthias Nießner:
HeadOn: Real-time Reenactment of Human Portrait Videos. CoRR abs/1805.11729 (2018) - [i25]Vignesh Ganapathi-Subramanian, Olga Diamanti, Sören Pirk, Chengcheng Tang, Matthias Nießner, Leonidas J. Guibas:
Parsing Geometry Using Structure-Aware Shape Templates. CoRR abs/1808.01337 (2018) - [i24]Angela Dai, Matthias Nießner:
Scan2Mesh: From Unstructured Range Scans to 3D Meshes. CoRR abs/1811.10464 (2018) - [i23]Justus Thies, Michael Zollhöfer, Christian Theobalt, Marc Stamminger, Matthias Nießner:
IGNOR: Image-guided Neural Object Rendering. CoRR abs/1811.10720 (2018) - [i22]Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner:
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. CoRR abs/1811.11187 (2018) - [i21]Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Nießner, Leonidas J. Guibas:
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. CoRR abs/1812.00020 (2018) - [i20]Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer:
DeepVoxels: Learning Persistent 3D Feature Embeddings. CoRR abs/1812.01024 (2018) - [i19]Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, Luisa Verdoliva:
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection. CoRR abs/1812.02510 (2018) - [i18]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. CoRR abs/1812.07003 (2018) - [i17]Lei Han, Mengqi Ji, Lu Fang, Matthias Nießner:
RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration. CoRR abs/1812.10212 (2018) - 2017
- [j21]Angela Dai, Matthias Nießner, Michael Zollhöfer, Shahram Izadi, Christian Theobalt:
BundleFusion: Real-Time Globally Consistent 3D Reconstruction Using On-the-Fly Surface Reintegration. ACM Trans. Graph. 36(3): 24:1-24:18 (2017) - [j20]Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
Opt: A Domain Specific Language for Non-Linear Least Squares Optimization in Graphics and Imaging. ACM Trans. Graph. 36(5): 171:1-171:27 (2017) - [j19]Kai Xu, Lintao Zheng, Zihao Yan, Guohang Yan, Eugene Zhang, Matthias Nießner, Oliver Deussen, Daniel Cohen-Or, Hui Huang:
Autonomous reconstruction of unknown indoor scenes guided by time-varying tensor fields. ACM Trans. Graph. 36(6): 202:1-202:15 (2017) - [j18]Jingwei Huang, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
3Dlite: towards commodity 3D scanning for content creation. ACM Trans. Graph. 36(6): 203:1-203:14 (2017) - [c28]Vladislav Golyanik, Kihwan Kim, Robert Maier, Matthias Nießner, Didier Stricker, Jan Kautz:
Multiframe Scene Flow with Piecewise Rigid Motion. 3DV 2017: 273-281 - [c27]Angel X. Chang, Angela Dai, Thomas A. Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang:
Matterport3D: Learning from RGB-D Data in Indoor Environments. 3DV 2017: 667-676 - [c26]Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, Thomas A. Funkhouser:
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions. CVPR 2017: 199-208 - [c25]Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, Matthias Nießner:
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes. CVPR 2017: 2432-2443 - [c24]Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner:
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis. CVPR 2017: 6545-6554 - [c23]Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz:
A Lightweight Approach for On-the-Fly Reflectance Estimation. ICCV 2017: 20-28 - [c22]Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias Nießner:
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting. ICCV 2017: 3133-3141 - [c21]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Demo of FaceVR: real-time facial reenactment and eye gaze control in virtual reality. SIGGRAPH Emerging Technologies 2017: 7:1-7:2 - [i16]Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, Matthias Nießner:
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes. CoRR abs/1702.04405 (2017) - [i15]Kihwan Kim, Jinwei Gu, Stephen Tyree, Pavlo Molchanov, Matthias Nießner, Jan Kautz:
A Lightweight Approach for On-the-Fly Reflectance Estimation. CoRR abs/1705.07162 (2017) - [i14]Benjamin Hepp, Matthias Nießner, Otmar Hilliges:
Plan3D: Viewpoint and Trajectory Optimization for Aerial Multi-View Stereo Reconstruction. CoRR abs/1705.09314 (2017) - [i13]Robert Maier, Kihwan Kim, Daniel Cremers, Jan Kautz, Matthias Nießner:
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting. CoRR abs/1708.01670 (2017) - [i12]Nazim Haouchine, Frédérick Roy, Hadrien Courtecuisse, Matthias Nießner, Stephane Cotin:
Calipso: Physics-based Image and Video Editing through CAD Model Proxies. CoRR abs/1708.03748 (2017) - [i11]Angel X. Chang, Angela Dai, Thomas A. Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang:
Matterport3D: Learning from RGB-D Data in Indoor Environments. CoRR abs/1709.06158 (2017) - [i10]Vladislav Golyanik, Kihwan Kim, Robert Maier, Matthias Nießner, Didier Stricker, Jan Kautz:
Multiframe Scene Flow with Piecewise Rigid Motion. CoRR abs/1710.02124 (2017) - [i9]Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner:
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. CoRR abs/1712.10215 (2017) - 2016
- [j17]Matthias Nießner, Benjamin Keinert, Matthew Fisher, Marc Stamminger, Charles T. Loop, Henry Schäfer:
Real-Time Rendering Techniques with Hardware Tessellation. Comput. Graph. Forum 35(1): 113-137 (2016) - [j16]Felix Heide, Steven Diamond, Matthias Nießner, Jonathan Ragan-Kelley, Wolfgang Heidrich, Gordon Wetzstein:
ProxImaL: efficient image optimization using proximal algorithms. ACM Trans. Graph. 35(4): 84:1-84:15 (2016) - [j15]Wade Brainerd, Theresa Foley, Manuel Kraemer, Henry P. Moreton, Matthias Nießner:
Efficient GPU rendering of subdivision surfaces using adaptive quadtrees. ACM Trans. Graph. 35(4): 113:1-113:12 (2016) - [j14]Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
PiGraphs: learning interaction snapshots from observations. ACM Trans. Graph. 35(4): 139:1-139:12 (2016) - [c20]Julien P. C. Valentin, Angela Dai, Matthias Nießner, Pushmeet Kohli, Philip H. S. Torr, Shahram Izadi, Cem Keskin:
Learning to Navigate the Energy Landscape. 3DV 2016: 323-332 - [c19]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos. CVPR 2016: 2387-2395 - [c18]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-view CNNs for Object Classification on 3D Data. CVPR 2016: 5648-5656 - [c17]Matthias Innmann, Michael Zollhöfer, Matthias Nießner, Christian Theobalt, Marc Stamminger:
VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction. ECCV (8) 2016: 362-379 - [c16]Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
PiGraphs: learning interaction snapshots from observations. SIGGRAPH ASIA Virtual Reality meets Physical Reality 2016: 5:1-5:2 - [c15]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Demo of Face2Face: real-time face capture and reenactment of RGB videos. SIGGRAPH Emerging Technologies 2016: 5:1-5:2 - [i8]Julien P. C. Valentin, Angela Dai, Matthias Nießner, Pushmeet Kohli, Philip H. S. Torr, Shahram Izadi, Cem Keskin:
Learning to Navigate the Energy Landscape. CoRR abs/1603.05772 (2016) - [i7]Matthias Innmann, Michael Zollhöfer, Matthias Nießner, Christian Theobalt, Marc Stamminger:
VolumeDeform: Real-time Volumetric Non-rigid Reconstruction. CoRR abs/1603.08161 (2016) - [i6]Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao:
3DMatch: Learning the Matching of Local 3D Geometry in Range Scans. CoRR abs/1603.08182 (2016) - [i5]Angela Dai, Matthias Nießner, Michael Zollhöfer, Shahram Izadi, Christian Theobalt:
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration. CoRR abs/1604.01093 (2016) - [i4]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-View CNNs for Object Classification on 3D Data. CoRR abs/1604.03265 (2016) - [i3]Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Louis Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner:
Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging. CoRR abs/1604.06525 (2016) - [i2]Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner:
FaceVR: Real-Time Facial Reenactment and Eye Gaze Control in Virtual Reality. CoRR abs/1610.03151 (2016) - [i1]Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner:
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis. CoRR abs/1612.00101 (2016) - 2015
- [j13]Henry Schäfer, Benjamin Keinert, Matthias Nießner, Marc Stamminger:
Local Painting and Deformation of Meshes on the GPU. Comput. Graph. Forum 34(1): 26-35 (2015) - [j12]Yangyan Li, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Database-Assisted Object Retrieval for Real-Time 3D Reconstruction. Comput. Graph. Forum 34(2): 435-446 (2015) - [j11]Matthias Nießner:
The real-time rendering of subdivision surfaces using hardware tessellation. it Inf. Technol. 57(5): 330-336 (2015) - [j10]Michael Zollhöfer, Angela Dai, Matthias Innmann, Chenglei Wu, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Shading-based refinement on volumetric signed distance functions. ACM Trans. Graph. 34(4): 96:1-96:14 (2015) - [j9]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips. ACM Trans. Graph. 34(5): 154:1-154:17 (2015) - [j8]Matthew Fisher, Manolis Savva, Yangyan Li, Pat Hanrahan, Matthias Nießner:
Activity-centric scene synthesis for functional 3D scene modeling. ACM Trans. Graph. 34(6): 179:1-179:13 (2015) - [j7]Justus Thies, Michael Zollhöfer, Matthias Nießner, Levi Valgaerts, Marc Stamminger, Christian Theobalt:
Real-time expression transfer for facial reenactment. ACM Trans. Graph. 34(6): 183:1-183:14 (2015) - [c14]Ondrej Miksik, Vibhav Vineet, Morten Lidegaard, Ram Prasaath, Matthias Nießner, Stuart Golodetz, Stephen L. Hicks, Patrick Pérez, Shahram Izadi, Philip H. S. Torr:
The Semantic Paintbrush: Interactive 3D Mapping and Recognition in Large Outdoor Spaces. CHI 2015: 3317-3326 - [c13]Julien P. C. Valentin, Matthias Nießner, Jamie Shotton, Andrew W. Fitzgibbon, Shahram Izadi, Philip H. S. Torr:
Exploiting uncertainty in regression forests for accurate camera relocalization. CVPR 2015: 4400-4408 - [c12]Carsten Benthin, Sven Woop, Matthias Nießner, Kai Selgard, Ingo Wald:
Efficient ray tracing of subdivision surfaces using tessellation caching. High Performance Graphics 2015: 5-12 - [c11]Vibhav Vineet, Ondrej Miksik, Morten Lidegaard, Matthias Nießner, Stuart Golodetz, Victor Adrian Prisacariu, Olaf Kähler, David William Murray, Shahram Izadi, Patrick Pérez, Philip H. S. Torr:
Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction. ICRA 2015: 75-82 - [c10]Henry Schäfer, Jens Raab, Benjamin Keinert, Mark Meyer, Marc Stamminger, Matthias Nießner:
Dynamic feature-adaptive subdivision. I3D 2015: 31-38 - [c9]Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, David Kim, Jamie Shotton, Pushmeet Kohli, Matthias Nießner, Antonio Criminisi, Shahram Izadi, Philip H. S. Torr:
SemanticPaint: interactive segmentation and learning of 3D world. SIGGRAPH Talks 2015: 75:1 - 2014
- [j6]Yun-Cen Huang, Jieqing Feng, Matthias Nießner, Yuanmin Cui, Baoguang Yang:
Feature-Adaptive Rendering of Loop Subdivision Surfaces on Modern GPUs. J. Comput. Sci. Technol. 29(6): 1014-1025 (2014) - [j5]Michael Zollhöfer, Matthias Nießner, Shahram Izadi, Christoph Rhemann, Christopher Zach, Matthew Fisher, Chenglei Wu, Andrew W. Fitzgibbon, Charles T. Loop, Christian Theobalt, Marc Stamminger:
Real-time non-rigid reconstruction using an RGB-D camera. ACM Trans. Graph. 33(4): 156:1-156:12 (2014) - [c8]David Kim, Shahram Izadi, Jakub Dostal, Christoph Rhemann, Cem Keskin, Christopher Zach, Jamie Shotton, Timothy A. Large, Steven Bathiche, Matthias Nießner, D. Alex Butler, Sean Ryan Fanello, Vivek Pradeep:
RetroDepth: 3D silhouette sensing for high-precision input on and above physical surfaces. CHI 2014: 1377-1386 - [c7]Henry Schäfer, Benjamin Keinert, Matthias Nießner, Christoph Buchenau, Michael Guthe, Marc Stamminger:
Real-Time Deformation of Subdivision Surfaces from Object Collisions. High Performance Graphics 2014: 89-96 - [c6]Matthias Nießner, Angela Dai, Matthew Fisher:
Combining Inertial Navigation and ICP for Real-time 3D Surface Reconstruction. Eurographics (Short Papers) 2014: 13-16 - [c5]Henry Schäfer, Matthias Nießner, Benjamin Keinert, Marc Stamminger, Charles T. Loop:
State of the Art Report on Real-time Rendering with Hardware Tessellation. Eurographics (State of the Art Reports) 2014: 93-117 - 2013
- [b1]Matthias Nießner:
Rendering Subdivision Surfaces using Hardware Tessellation. University of Erlangen-Nuremberg, Verlag Dr. Hut 2013 - [j4]Matthias Nießner, Charles T. Loop:
Analytic displacement mapping using hardware tessellation. ACM Trans. Graph. 32(3): 26:1-26:9 (2013) - [j3]Matthias Nießner, Michael Zollhöfer, Shahram Izadi, Marc Stamminger:
Real-time 3D reconstruction at scale using voxel hashing. ACM Trans. Graph. 32(6): 169:1-169:11 (2013) - [c4]Matthias Nießner, Christian Siegl, Henry Schäfer, Charles T. Loop:
Real-time Collision Detection for Dynamic Hardware Tessellated Objects. Eurographics (Short Papers) 2013: 33-36 - [p1]Matthias Nießner:
Rendern von Unterteilungsflächen mittels Hardware Tessellierung. Ausgezeichnete Informatikdissertationen 2013: 151-160 - 2012
- [j2]Matthias Nießner, Charles T. Loop, Mark Meyer, Tony DeRose:
Feature-adaptive GPU rendering of Catmull-Clark subdivision surfaces. ACM Trans. Graph. 31(1): 6:1-6:11 (2012) - [c3]Matthias Nießner, Charles T. Loop, Günther Greiner:
Efficient Evaluation of Semi-Smooth Creases in Catmull-Clark Subdivision Surfaces. Eurographics (Short Papers) 2012: 41-44 - [c2]Matthias Nießner, Roman Sturm, Günther Greiner:
Real-time simulation and visualization of human vision through eyeglasses on the GPU. VRCAI 2012: 195-202 - 2011
- [c1]Charles T. Loop, Matthias Nießner, Christian Eisenacher:
Effective Back-Patch Culling for Hardware Tessellation. VMV 2011: 263-268 - 2010
- [j1]Matthias Nießner, Henry Schäfer, Marc Stamminger:
Fast indirect illumination using Layered Depth Images. Vis. Comput. 26(6-8): 679-686 (2010)
Coauthor Index
[c142] [c134] [c131] [c129] [i150] [c123] [c120] [c119] [c118] [c115] [c112] [c103] [i145] [i141] [i140] [i132] [i129] [i124] [i120] [c100] [c94] [c93] [c90] [i114] [i103] [i102] [i98] [i97] [i94] [c81] [c80] [c77] [c74] [c72] [c71] [c67] [c66] [i92] [i91] [i88] [i86] [i83] [i78] [i77] [i76] [c63] [c62] [c61] [c52] [c47] [i73] [i69] [i64] [i63] [i58] [i53] [c43] [c42] [c40] [c38] [c36] [i43] [i41] [i38] [i35] [c31] [c30] [i28] [i24] [i22] [i18] [j21] [j18] [c27] [c25] [c24] [i16] [i11] [i9] [c20] [c18] [i8] [i5] [i4] [i1] [j12] [j10] [c6]
Barbara Rössle
aka: Barbara Roessle
aka: Barbara Roessle
[c142] [c131] [c129] [c117] [c103] [i141] [i124] [i120] [j38] [c98] [c96] [c94] [c86] [i114] [i106] [i100] [i98] [c82] [c81] [c80] [c76] [c73] [c72] [c71] [c69] [c67] [c65] [i92] [i91] [i90] [i89] [i86] [i85] [i82] [i79] [j35] [j34] [c64] [c62] [c50] [c48] [c47] [i73] [i67] [i64] [i63] [i62] [i60] [i58] [i56] [i55] [j32] [j29] [c45] [c39] [i47] [i42] [i36] [i33] [j27] [j24] [j23] [j22] [i31] [i29] [i27] [i26] [i23] [i20] [i19] [c21] [c19] [c15] [i2] [j7]
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last updated on 2024-11-04 21:42 CET by the dblp team
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