Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases - Jan Bednarík; Noam Aigerman; Vladimir G. Kim; Siddhartha Chaudhuri; Shaifali Parashar; Mathieu Salzmann; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects - Amir Barda; Matheus Gadelha; Vladimir G. Kim; Noam Aigerman; Amit H. Bermano; Thibault Groueix (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025)

GenVDM: Generating Vector Displacement Maps From a Single Image - Yuezhi Yang; Qimin Chen; Vladimir G. Kim; Siddhartha Chaudhuri; Qixing Huang; Zhiqin Chen (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025, Nashville, TN, USA, June 11-15, 2025, 2025)

A Solver-Aided Hierarchical Language for LLM-Driven CAD Design - Benjamin T. Jones; Felix Hähnlein; Zihan Zhang; Maaz Bin Safeer Ahmad; Vladimir G. Kim; Adriana Schulz (CoRR, 2025)

GenVDM: Generating Vector Displacement Maps From a Single Image - Yuezhi Yang; Qimin Chen; Vladimir G. Kim; Siddhartha Chaudhuri; Qixing Huang; Zhiqin Chen (CoRR, 2025)

ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction - Qimin Chen; Yuezhi Yang; Yifang Wang; Vladimir G. Kim; Siddhartha Chaudhuri; Hao (Richard) Zhang; Zhiqin Chen (CoRR, 2025)

Escher Tile Deformation via Closed-Form Solution - Crane He Chen; Vladimir G. Kim (CoRR, 2025)

Neural Semantic Surface Maps - Luca Morreale; Noam Aigerman; Vladimir G. Kim; Niloy J. Mitra (Comput. Graph. Forum, 2024)

MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback - Chen Chen; Cuong Nguyen; Thibault Groueix; Vladimir G. Kim; Nadir Weibel (ACM Trans. Comput. Hum. Interact., 2024)

One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns - Arman Maesumi; Dylan Hu; Krishi Saripalli; Vladimir G. Kim; Matthew Fisher; Sören Pirk; Daniel Ritchie (ACM Trans. Graph., 2024)

As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors - Seungwoo Yoo; Kunho Kim; Vladimir G. Kim; Minhyuk Sung (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Temporal Residual Jacobians for Rig-Free Motion Transfer - Sanjeev Muralikrishnan; Niladri Shekhar Dutt; Siddhartha Chaudhuri; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Niloy J. Mitra (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LVIII, 2024)

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement - Qimin Chen; Zhiqin Chen; Vladimir G. Kim; Noam Aigerman; Hao (Richard) Zhang; Siddhartha Chaudhuri (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIX, 2024)

GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis - Dmitry Petrov; Pradyumn Goyal; Vikas Thamizharasan; Vladimir G. Kim; Matheus Gadelha; Melinos Averkiou; Siddhartha Chaudhuri; Evangelos Kalogerakis (ACM SIGGRAPH 2024 Conference Papers, SIGGRAPH 2024, Denver, CO, USA, 27 July 2024- 1 August 2024, 2024)

Text-guided Controllable Mesh Refinement for Interactive 3D Modeling - Yun-Chun Chen; Selena Ling; Zhiqin Chen; Vladimir G. Kim; Matheus Gadelha; Alec Jacobson (SIGGRAPH Asia 2024 Conference Papers, SA 2024, Tokyo, Japan, December 3-6, 2024, 2024)

MagicClay: Sculpting Meshes With Generative Neural Fields - Amir Barda; Vladimir G. Kim; Noam Aigerman; Amit Haim Bermano; Thibault Groueix (SIGGRAPH Asia 2024 Conference Papers, SA 2024, Tokyo, Japan, December 3-6, 2024, 2024)

GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis - Dmitry Petrov; Pradyumn Goyal; Vikas Thamizharasan; Vladimir G. Kim; Matheus Gadelha; Melinos Averkiou; Siddhartha Chaudhuri; Evangelos Kalogerakis (CoRR, 2024)

MagicClay: Sculpting Meshes With Generative Neural Fields - Amir Barda; Vladimir G. Kim; Noam Aigerman; Amit H. Bermano; Thibault Groueix (CoRR, 2024)

MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment - Duygu Ceylan; Valentin Deschaintre; Thibault Groueix; Rosalie Martin; Chun-Hao Paul Huang; Romain Rouffet; Vladimir G. Kim; Gaëtan Lassagne (CoRR, 2024)

One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns - Arman Maesumi; Dylan Hu; Krishi Saripalli; Vladimir G. Kim; Matthew Fisher; Sören Pirk; Daniel Ritchie (CoRR, 2024)

Text-guided Controllable Mesh Refinement for Interactive 3D Modeling - Yun-Chun Chen; Selena Ling; Zhiqin Chen; Vladimir G. Kim; Matheus Gadelha; Alec Jacobson (CoRR, 2024)

Temporal Residual Jacobians For Rig-free Motion Transfer - Sanjeev Muralikrishnan; Niladri Shekhar Dutt; Siddhartha Chaudhuri; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Niloy J. Mitra (CoRR, 2024)

MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation - Hyunwoo Kim; Itai Lang; Noam Aigerman; Thibault Groueix; Vladimir G. Kim; Rana Hanocka (CoRR, 2024)

MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback - Chen Chen; Cuong Nguyen; Thibault Groueix; Vladimir G. Kim; Nadir Weibel (CoRR, 2024)

DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement - Qimin Chen; Zhiqin Chen; Vladimir G. Kim; Noam Aigerman; Hao Zhang; Siddhartha Chaudhuri (CoRR, 2024)

SAMa: Material-aware 3D Selection and Segmentation - Michael Fischer; Iliyan Georgiev; Thibault Groueix; Vladimir G. Kim; Tobias Ritschel; Valentin Deschaintre (CoRR, 2024)

Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects - Amir Barda; Matheus Gadelha; Vladimir G. Kim; Noam Aigerman; Amit H. Bermano; Thibault Groueix (CoRR, 2024)

DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization - Richard Liu; Noam Aigerman; Vladimir G. Kim; Rana Hanocka (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Self-Supervised Representation Learning for CAD - Benjamin T. Jones; Michael Hu; Milin Kodnongbua; Vladimir G. Kim; Adriana Schulz (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Learning Proximal Operators to Discover Multiple Optima - Lingxiao Li; Noam Aigerman; Vladimir G. Kim; Jiajin Li; Kristjan H. Greenewald; Mikhail Yurochkin; Justin Solomon (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

Neural Progressive Meshes - Yun-Chun Chen; Vladimir G. Kim; Noam Aigerman; Alec Jacobson (ACM SIGGRAPH 2023 Conference Proceedings, SIGGRAPH 2023, Los Angeles, CA, USA, August 6-10, 2023, 2023)

Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models - Arman Maesumi; Paul Guerrero; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri; Daniel Ritchie (SIGGRAPH Asia 2023 Conference Papers, SA 2023, Sydney, NSW, Australia, December 12-15, 2023, 2023)

ReparamCAD: Zero-shot CAD Re-Parameterization for Interactive Manipulation - Milin Kodnongbua; Benjamin T. Jones; Maaz Bin Safeer Ahmad; Vladimir G. Kim; Adriana Schulz (SIGGRAPH Asia 2023 Conference Papers, SA 2023, Sydney, NSW, Australia, December 12-15, 2023, 2023)

TextDeformer: Geometry Manipulation using Text Guidance - William Gao; Noam Aigerman; Thibault Groueix; Vladimir G. Kim; Rana Hanocka (CoRR, 2023)

Zero-shot CAD Program Re-Parameterization for Interactive Manipulation - Milin Kodnongbua; Benjamin T. Jones; Maaz Bin Safeer Ahmad; Vladimir G. Kim; Adriana Schulz (CoRR, 2023)

Neural Progressive Meshes - Yun-Chun Chen; Vladimir G. Kim; Noam Aigerman; Alec Jacobson (CoRR, 2023)

Neural Semantic Surface Maps - Luca Morreale; Noam Aigerman; Vladimir G. Kim; Niloy J. Mitra (CoRR, 2023)

Explorable Mesh Deformation Subspaces from Unstructured Generative Models - Arman Maesumi; Paul Guerrero; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri; Noam Aigerman; Daniel Ritchie (CoRR, 2023)

As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors - Seungwoo Yoo; Kunho Kim; Vladimir G. Kim; Minhyuk Sung (CoRR, 2023)

Neural jacobian fields: learning intrinsic mappings of arbitrary meshes - Noam Aigerman; Kunal Gupta; Vladimir G. Kim; Siddhartha Chaudhuri; Jun Saito; Thibault Groueix (ACM Trans. Graph., 2022)

GLASS: Geometric Latent Augmentation for Shape Spaces - Sanjeev Muralikrishnan; Siddhartha Chaudhuri; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Niloy J. Mitra (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Neural Convolutional Surfaces - Luca Morreale; Noam Aigerman; Paul Guerrero; Vladimir G. Kim; Niloy J. Mitra (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation - Bo Sun; Vladimir G. Kim; Noam Aigerman; Qixing Huang; Siddhartha Chaudhuri (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part III, 2022)

The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts - Kai Wang; Paul Guerrero; Vladimir G. Kim; Siddhartha Chaudhuri; Minhyuk Sung; Daniel Ritchie (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part III, 2022)

Möbius Convolutions for Spherical CNNs - Thomas W. Mitchel; Noam Aigerman; Vladimir G. Kim; Michael Kazhdan (SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7 - 11, 2022, 2022)

Learning Proximal Operators to Discover Multiple Optima - Lingxiao Li; Noam Aigerman; Vladimir G. Kim; Jiajin Li; Kristjan H. Greenewald; Mikhail Yurochkin; Justin Solomon (CoRR, 2022)

Möbius Convolutions for Spherical CNNs - Thomas W. Mitchel; Noam Aigerman; Vladimir G. Kim; Michael Kazhdan (CoRR, 2022)

Neural Convolutional Surfaces - Luca Morreale; Noam Aigerman; Paul Guerrero; Vladimir G. Kim; Niloy J. Mitra (CoRR, 2022)

Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes - Noam Aigerman; Kunal Gupta; Vladimir G. Kim; Siddhartha Chaudhuri; Jun Saito; Thibault Groueix (CoRR, 2022)

Learning Joint Surface Atlases - Theo Deprelle; Thibault Groueix; Noam Aigerman; Vladimir G. Kim; Mathieu Aubry (CoRR, 2022)

PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation - Bo Sun; Vladimir G. Kim; Noam Aigerman; Qixing Huang; Siddhartha Chaudhuri (CoRR, 2022)

Self-Supervised Representation Learning for CAD - Benjamin T. Jones; Michael Hu; Vladimir G. Kim; Adriana Schulz (CoRR, 2022)

DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization - Richard Liu; Noam Aigerman; Vladimir G. Kim; Rana Hanocka (CoRR, 2022)

AutoMate: a dataset and learning approach for automatic mating of CAD assemblies - Benjamin T. Jones; Dalton Hildreth; Duowen Chen; Ilya Baran; Vladimir G. Kim; Adriana Schulz (ACM Trans. Graph., 2021)

Neural Surface Maps - Luca Morreale; Noam Aigerman; Vladimir G. Kim; Niloy J. Mitra (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Joint Learning of 3D Shape Retrieval and Deformation - Mikaela Angelina Uy; Vladimir G. Kim; Minhyuk Sung; Noam Aigerman; Siddhartha Chaudhuri; Leonidas J. Guibas (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

DECOR-GAN: 3D Shape Detailization by Conditional Refinement - Zhiqin Chen; Vladimir G. Kim; Matthew Fisher; Noam Aigerman; Hao Zhang; Siddhartha Chaudhuri (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Field Convolutions for Surface CNNs - Thomas W. Mitchel; Vladimir G. Kim; Michael Kazhdan (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases - Jan Bednarík; Vladimir G. Kim; Siddhartha Chaudhuri; Shaifali Parashar; Mathieu Salzmann; Pascal Fua; Noam Aigerman (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

3D Reconstruction By Parameterized Surface Mapping - Pierre-Alain Langlois; Matthew Fisher; Oliver Wang; Vladimir G. Kim; Alexandre Boulch; Renaud Marlet; Bryan C. Russell (2021 IEEE International Conference on Image Processing, ICIP 2021, Anchorage, AK, USA, September 19-22, 2021, 2021)

Joint Learning of 3D Shape Retrieval and Deformation - Mikaela Angelina Uy; Vladimir G. Kim; Minhyuk Sung; Noam Aigerman; Siddhartha Chaudhuri; Leonidas J. Guibas (CoRR, 2021)

Neural Surface Maps - Luca Morreale; Noam Aigerman; Vladimir G. Kim; Niloy J. Mitra (CoRR, 2021)

Field Convolutions for Surface CNNs - Thomas W. Mitchel; Vladimir G. Kim; Michael Kazhdan (CoRR, 2021)

Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases - Jan Bednarík; Vladimir G. Kim; Siddhartha Chaudhuri; Shaifali Parashar; Mathieu Salzmann; Pascal Fua; Noam Aigerman (CoRR, 2021)

GLASS: Geometric Latent Augmentation for Shape Spaces - Sanjeev Muralikrishnan; Siddhartha Chaudhuri; Noam Aigerman; Vladimir G. Kim; Matthew Fisher; Niloy J. Mitra (CoRR, 2021)

Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases - Jan Bednarík; Noam Aigerman; Vladimir G. Kim; Siddhartha Chaudhuri; Shaifali Parashar; Mathieu Salzmann; Pascal Fua (CoRR, 2021)

The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts - Kai Wang; Paul Guerrero; Vladimir G. Kim; Siddhartha Chaudhuri; Minhyuk Sung; Daniel Ritchie (CoRR, 2021)

Neural subdivision - Hsueh-Ti Derek Liu; Vladimir G. Kim; Siddhartha Chaudhuri; Noam Aigerman; Alec Jacobson (ACM Trans. Graph., 2020)

COALESCE: Component Assembly by Learning to Synthesize Connections - Kangxue Yin; Zhiqin Chen; Siddhartha Chaudhuri; Matthew Fisher; Vladimir G. Kim; Hao (Richard) Zhang (8th International Conference on 3D Vision, 3DV 2020, Virtual Event, Japan, November 25-28, 2020, 2020)

Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections - Xianghao Xu; David Charatan; Sonia Raychaudhuri; Hanxiao Jiang; Mae Heitmann; Vladimir G. Kim; Siddhartha Chaudhuri; Manolis Savva; Angel X. Chang; Daniel Ritchie (8th International Conference on 3D Vision, 3DV 2020, Virtual Event, Japan, November 25-28, 2020, 2020)

Self-Supervised Learning of Point Clouds via Orientation Estimation - Omid Poursaeed; Tianxing Jiang; Han Qiao; Nayun Xu; Vladimir G. Kim (8th International Conference on 3D Vision, 3DV 2020, Virtual Event, Japan, November 25-28, 2020, 2020)

Neural Cages for Detail-Preserving 3D Deformations - Yifan Wang; Noam Aigerman; Vladimir G. Kim; Siddhartha Chaudhuri; Olga Sorkine-Hornung (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Deep Parametric Shape Predictions Using Distance Fields - Dmitriy Smirnov; Matthew Fisher; Vladimir G. Kim; Richard Zhang; Justin Solomon (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Affinity Graph Supervision for Visual Recognition - Chu Wang; Babak Samari; Vladimir G. Kim; Siddhartha Chaudhuri; Kaleem Siddiqi (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Modeling Artistic Workflows for Image Generation and Editing - Hung-Yu Tseng; Matthew Fisher; Jingwan Lu; Yijun Li; Vladimir G. Kim; Ming-Hsuan Yang (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XVIII, 2020)

Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling - Omid Poursaeed; Matthew Fisher; Noam Aigerman; Vladimir G. Kim (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part X, 2020)

Autocomplete Animated Sculpting - Mengqi Peng; Li-Yi Wei; Rubaiat Habib Kazi; Vladimir G. Kim (UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, Virtual Event, USA, October 20-23, 2020, 2020)

Neural Puppet: Generative Layered Cartoon Characters - Omid Poursaeed; Vladimir G. Kim; Eli Shechtman; Jun Saito; Serge J. Belongie (IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, 2020)

Affinity Graph Supervision for Visual Recognition - Chu Wang; Babak Samari; Vladimir G. Kim; Siddhartha Chaudhuri; Kaleem Siddiqi (CoRR, 2020)

Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement - Sai Bi; Kalyan Sunkavalli; Federico Perazzi; Eli Shechtman; Vladimir G. Kim; Ravi Ramamoorthi (CoRR, 2020)

Neural Subdivision - Hsueh-Ti Derek Liu; Vladimir G. Kim; Siddhartha Chaudhuri; Noam Aigerman; Alec Jacobson (CoRR, 2020)

Modeling Artistic Workflows for Image Generation and Editing - Hung-Yu Tseng; Matthew Fisher; Jingwan Lu; Yijun Li; Vladimir G. Kim; Ming-Hsuan Yang (CoRR, 2020)

Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling - Omid Poursaeed; Matthew Fisher; Noam Aigerman; Vladimir G. Kim (CoRR, 2020)

Self-supervised Learning of Point Clouds via Orientation Estimation - Omid Poursaeed; Tianxing Jiang; Quintessa Qiao; Nayun Xu; Vladimir G. Kim (CoRR, 2020)

COALESCE: Component Assembly by Learning to Synthesize Connections - Kangxue Yin; Zhiqin Chen; Siddhartha Chaudhuri; Matthew Fisher; Vladimir G. Kim; Hao Zhang (CoRR, 2020)

DECOR-GAN: 3D Shape Detailization by Conditional Refinement - Zhiqin Chen; Vladimir G. Kim; Matthew Fisher; Noam Aigerman; Hao (Richard) Zhang; Siddhartha Chaudhuri (CoRR, 2020)

Learning A Stroke-Based Representation for Fonts - Elena Balashova; Amit H. Bermano; Vladimir G. Kim; Stephen DiVerdi; Aaron Hertzmann; Thomas A. Funkhouser (Comput. Graph. Forum, 2019)

Learning a Generative Model for Multi-Step Human-Object Interactions from Videos - He Wang; Sören Pirk; Ersin Yumer; Vladimir G. Kim; Ozan Sener; Srinath Sridhar; Leonidas J. Guibas (Comput. Graph. Forum, 2019)

Unsupervised cycle-consistent deformation for shape matching - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (Comput. Graph. Forum, 2019)

Shape Correspondence with Isometric and Non-Isometric Deformations - Roberto M. Dyke; C. Stride; Yu-Kun Lai; Paul L. Rosin; Mathieu Aubry; Amit Boyarski; Alexander M. Bronstein; Michael M. Bronstein; Daniel Cremers; Matthew Fisher; Thibault Groueix; Daoliang Guo; et al. (12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2019, Genoa, Italy, May 5-6, 2019, 2019)

Learning to Generate Textures on 3D Meshes - Amit Raj; Cusuh Ham; Connelly Barnes; Vladimir G. Kim; Jingwan Lu; James Hays (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction - Chen-Hsuan Lin; Oliver Wang; Bryan C. Russell; Eli Shechtman; Vladimir G. Kim; Matthew Fisher; Simon Lucey (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Shape Unicode: A Unified Shape Representation - Sanjeev Muralikrishnan; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement - Sai Bi; Kalyan Sunkavalli; Federico Perazzi; Eli Shechtman; Vladimir G. Kim; Ravi Ramamoorthi (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

Learning elementary structures for 3D shape generation and matching - Theo Deprelle; Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

CreativeAI: deep learning for graphics - Niloy J. Mitra; Iasonas Kokkinos; Paul Guerrero; Nils Thuerey; Vladimir G. Kim; Leonidas J. Guibas (Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2019, Los Angeles, CA, USA, July 28 - August 01, 2019, Courses, 2019)

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction - Chen-Hsuan Lin; Oliver Wang; Bryan C. Russell; Eli Shechtman; Vladimir G. Kim; Matthew Fisher; Simon Lucey (CoRR, 2019)

Deep Parametric Shape Predictions using Distance Fields - Dmitriy Smirnov; Matthew Fisher; Vladimir G. Kim; Richard Zhang; Justin Solomon (CoRR, 2019)

FAN: Focused Attention Networks - Chu Wang; Babak Samari; Vladimir G. Kim; Siddhartha Chaudhuri; Kaleem Siddiqi (CoRR, 2019)

Unsupervised cycle-consistent deformation for shape matching - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CoRR, 2019)

Learning elementary structures for 3D shape generation and matching - Theo Deprelle; Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CoRR, 2019)

Neural Puppet: Generative Layered Cartoon Characters - Omid Poursaeed; Vladimir G. Kim; Eli Shechtman; Jun Saito; Serge J. Belongie (CoRR, 2019)

Neural Cages for Detail-Preserving 3D Deformations - Yifan Wang; Noam Aigerman; Vladimir G. Kim; Siddhartha Chaudhuri; Olga Sorkine-Hornung (CoRR, 2019)

Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces - Minhyuk Sung; Anastasia Dubrovina; Vladimir G. Kim; Leonidas J. Guibas (Comput. Graph. Forum, 2018)

Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks - Haibin Huang; Evangelos Kalogerakis; Siddhartha Chaudhuri; Duygu Ceylan; Vladimir G. Kim; Ersin Yumer (ACM Trans. Graph., 2018)

Toonsynth: example-based synthesis of hand-colored cartoon animations - Marek Dvoroznák; Wilmot Li; Vladimir G. Kim; Daniel Sýkora (ACM Trans. Graph., 2018)

OptCuts: joint optimization of surface cuts and parameterization - Minchen Li; Danny M. Kaufman; Vladimir G. Kim; Justin Solomon; Alla Sheffer (ACM Trans. Graph., 2018)

Learning Material-Aware Local Descriptors for 3D Shapes - Hubert Lin; Melinos Averkiou; Evangelos Kalogerakis; Balazs Kovacs; Siddhant Ranade; Vladimir G. Kim; Siddhartha Chaudhuri; Kavita Bala (2018 International Conference on 3D Vision, 3DV 2018, Verona, Italy, September 5-8, 2018, 2018)

SeeThrough: Finding Objects in Heavily Occluded Indoor Scene Images - Niloy J. Mitra; Vladimir G. Kim; Ersin Yumer; Moos Hueting; Nathan Carr; Pradyumna Reddy (2018 International Conference on 3D Vision, 3DV 2018, Verona, Italy, September 5-8, 2018, 2018)

A Papier-Mâché Approach to Learning 3D Surface Generation - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Tags2Parts: Discovering Semantic Regions From Shape Tags - Sanjeev Muralikrishnan; Vladimir G. Kim; Siddhartha Chaudhuri (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Multi-Content GAN for Few-Shot Font Style Transfer - Samaneh Azadi; Matthew Fisher; Vladimir G. Kim; Zhaowen Wang; Eli Shechtman; Trevor Darrell (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Real-Time Hair Rendering Using Sequential Adversarial Networks - Lingyu Wei; Liwen Hu; Vladimir G. Kim; Ersin Yumer; Hao Li (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part IV, 2018)

3D-CODED: 3D Correspondences by Deep Deformation - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part II, 2018)

Deep Learning for Graphics - Niloy J. Mitra; Tobias Ritschel; Iasonas Kokkinos; Paul Guerrero; Vladimir G. Kim; Konstantinos Rematas; Ersin Yumer (39th Annual Conference of the European Association for Computer Graphics, Eurographics 2018 - Tutorials, Delft, The Netherlands, April 16-20, 2018, 2018)

Tooncap: a layered deformable model for capturing poses from cartoon characters - Xinyi Fan; Amit H. Bermano; Vladimir G. Kim; Jovan Popovic; Szymon Rusinkiewicz (7th Joint Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering, Expressive 2018, Victoria, BC, Canada, August 17-19, 2018, Proceedings, 2018)

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CoRR, 2018)

Shape correspondences from learnt template-based parametrization - Thibault Groueix; Matthew Fisher; Vladimir G. Kim; Bryan C. Russell; Mathieu Aubry (CoRR, 2018)

Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces - Minhyuk Sung; Anastasia Dubrovina; Vladimir G. Kim; Leonidas J. Guibas (CoRR, 2018)

Learning Material-Aware Local Descriptors for 3D Shapes - Hubert Lin; Melinos Averkiou; Evangelos Kalogerakis; Balazs Kovacs; Siddhant Ranade; Vladimir G. Kim; Siddhartha Chaudhuri; Kavita Bala (CoRR, 2018)

Data-Driven Shape Analysis and Processing - Kai Xu; Vladimir G. Kim; Qixing Huang; Evangelos Kalogerakis (Comput. Graph. Forum, 2017)

GWCNN: A Metric Alignment Layer for Deep Shape Analysis - Danielle Ezuz; Justin Solomon; Vladimir G. Kim; Mirela Ben-Chen (Comput. Graph. Forum, 2017)

Learning hierarchical shape segmentation and labeling from online repositories - Li Yi; Leonidas J. Guibas; Aaron Hertzmann; Vladimir G. Kim; Hao Su; Ersin Yumer (ACM Trans. Graph., 2017)

Convolutional neural networks on surfaces via seamless toric covers - Haggai Maron; Meirav Galun; Noam Aigerman; Miri Trope; Nadav Dym; Ersin Yumer; Vladimir G. Kim; Yaron Lipman (ACM Trans. Graph., 2017)

Complementme: weakly-supervised component suggestions for 3D modeling - Minhyuk Sung; Hao Su; Vladimir G. Kim; Siddhartha Chaudhuri; Leonidas J. Guibas (ACM Trans. Graph., 2017)

Learning Hierarchical Shape Segmentation and Labeling from Online Repositories - Li Yi; Leonidas J. Guibas; Aaron Hertzmann; Vladimir G. Kim; Hao Su; Ersin Yumer (CoRR, 2017)

Learning local shape descriptors with view-based convolutional networks - Haibin Huang; Evangelos Kalogerakis; Siddhartha Chaudhuri; Duygu Ceylan; Vladimir G. Kim; Ersin Yumer (CoRR, 2017)

ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling - Minhyuk Sung; Hao Su; Vladimir G. Kim; Siddhartha Chaudhuri; Leonidas J. Guibas (CoRR, 2017)

Tags2Parts: Discovering Semantic Regions from Shape Tags - Sanjeev Muralikrishnan; Vladimir G. Kim; Siddhartha Chaudhuri (CoRR, 2017)

SeeThrough: Finding Chairs in Heavily Occluded Indoor Scenes - Moos Hueting; Vladimir G. Kim; Ersin Yumer; Nathan Carr; Niloy J. Mitra (CoRR, 2017)

Multi-Content GAN for Few-Shot Font Style Transfer - Samaneh Azadi; Matthew Fisher; Vladimir G. Kim; Zhaowen Wang; Eli Shechtman; Trevor Darrell (CoRR, 2017)

Autocorrelation Descriptor for Efficient Co-Alignment of 3D Shape Collections - Melinos Averkiou; Vladimir G. Kim; Niloy J. Mitra (Comput. Graph. Forum, 2016)

Physics-driven pattern adjustment for direct 3D garment editing - Aric Bartle; Alla Sheffer; Vladimir G. Kim; Danny M. Kaufman; Nicholas Vining; Floraine Berthouzoz (ACM Trans. Graph., 2016)

Entropic metric alignment for correspondence problems - Justin Solomon; Gabriel Peyré; Vladimir G. Kim; Suvrit Sra (ACM Trans. Graph., 2016)

A scalable active framework for region annotation in 3D shape collections - Li Yi; Vladimir G. Kim; Duygu Ceylan; I-Chao Shen; Mengyan Yan; Hao Su; Cewu Lu; Qixing Huang; Alla Sheffer; Leonidas J. Guibas (ACM Trans. Graph., 2016)

Data-driven shape analysis and processing - Kai Xu; Vladimir G. Kim; Qixing Huang; Niloy J. Mitra; Evangelos Kalogerakis (SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016)

Data-driven structural priors for shape completion - Minhyuk Sung; Vladimir G. Kim; Roland Angst; Leonidas J. Guibas (ACM Trans. Graph., 2015)

Data-Driven Shape Analysis and Processing - Kai Xu; Vladimir G. Kim; Qixing Huang; Evangelos Kalogerakis (CoRR, 2015)

ShapeSynth: Parameterizing model collections for coupled shape exploration and synthesis - Melinos Averkiou; Vladimir G. Kim; Youyi Zheng; Niloy J. Mitra (Comput. Graph. Forum, 2014)

Shape2Pose: human-centric shape analysis - Vladimir G. Kim; Siddhartha Chaudhuri; Leonidas J. Guibas; Thomas A. Funkhouser (ACM Trans. Graph., 2014)

Structure-aware shape processing - Niloy J. Mitra; Michael Wand; Hao Zhang; Daniel Cohen-Or; Vladimir G. Kim; Qi-Xing Huang (Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH '14, Vancouver, Canada, August 10-14, 2014, Courses, 2014)

Understanding the Structure of Large, Diverse Collections of Shapes - Vladimir G. Kim (Princeton University, USA, 2013)

Learning part-based templates from large collections of 3D shapes - Vladimir G. Kim; Wilmot Li; Niloy J. Mitra; Siddhartha Chaudhuri; Stephen DiVerdi; Thomas A. Funkhouser (ACM Trans. Graph., 2013)

Structure-aware shape processing - Niloy J. Mitra; Michael Wand; Hao (Richard) Zhang; Daniel Cohen-Or; Vladimir G. Kim; Qi-Xing Huang (SIGGRAPH Asia 2013, Hong Kong, China, November 19-22, 2013, Courses, 2013)

Finding Surface Correspondences Using Symmetry Axis Curves - Tianqiang Liu; Vladimir G. Kim; Thomas A. Funkhouser (Comput. Graph. Forum, 2012)

Symmetry-guided texture synthesis and manipulation - Vladimir G. Kim; Yaron Lipman; Thomas A. Funkhouser (ACM Trans. Graph., 2012)

Exploring collections of 3D models using fuzzy correspondences - Vladimir G. Kim; Wilmot Li; Niloy J. Mitra; Stephen DiVerdi; Thomas A. Funkhouser (ACM Trans. Graph., 2012)

Simple formulas for quasiconformal plane deformations - Yaron Lipman; Vladimir G. Kim; Thomas A. Funkhouser (ACM Trans. Graph., 2012)

Blended intrinsic maps - Vladimir G. Kim; Yaron Lipman; Thomas A. Funkhouser (ACM Trans. Graph., 2011)

Möbius Transformations For Global Intrinsic Symmetry Analysis - Vladimir G. Kim; Yaron Lipman; Xiaobai Chen; Thomas A. Funkhouser (Comput. Graph. Forum, 2010)

Shape-based recognition of 3D point clouds in urban environments - Aleksey Golovinskiy; Vladimir G. Kim; Thomas A. Funkhouser (IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27 - October 4, 2009, 2009)