Mar 24, 2023 · We introduce an effective generalizable framework Generalizable Model-based Neural Radiance Fields (GM-NeRF) to synthesize free-viewpoint images.
We introduce an effective generalizable framework Generalizable Model-based Neural Radiance Fields (GM-NeRF) to synthesize free-viewpoint images.
In this work, we focus on synthesizing high-fidelity novel view images for arbitrary human performers, given a set of sparse multi-view images.
This work introduces an effective generalizable framework Generalizable Model-based Neural Radiance Fields (GM-NeRF) to synthesize free-viewpoint images.
We introduce an effective generalizable framework Generalizable Model-based Neural Radiance Fields (GM-NeRF) to synthesize free-viewpoint images.
In this paper, we propose an effective framework to build generalizable model-based neural radiance fields (GM-. NeRF) from sparse calibrated multi-view images ...
GM-NeRF: Learning Generalizable Model-Based Neural Radiance ...
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Request PDF | On Jun 1, 2023, Jianchuan Chen and others published GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields from Multi-View Images ...
GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from ... from sparse multi-view images, which introduces SMPL as a geometric prior.
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Apr 9, 2024 · Recent advancements in Neural Radiance Fields (NeRF) have demonstrated remarkable potential in generating photorealistic virtual human avatars ...