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Generalizable Patch-Based Neural Rendering. (arXiv:2207.10662v1 [cs.CV])
July 22, 2022, 1:12 a.m. | Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia
cs.CV updates on arXiv.org arxiv.org
Neural rendering has received tremendous attention since the advent of Neural
Radiance Fields (NeRF), and has pushed the state-of-the-art on novel-view
synthesis considerably. The recent focus has been on models that overfit to a
single scene, and the few attempts to learn models that can synthesize novel
views of unseen scenes mostly consist of combining deep convolutional features
with a NeRF-like model. We propose a different paradigm, where no deep features
and no NeRF-like volume rendering are needed. Our method …
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