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 ...
Writers: Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia PDF:Generalizable Patch-Based Neural Rendering Abstract 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...
As discussed in Section 3.1 and verified in Table 8 of the supp, the CLIP ViT image encoder excessively downsamples image fea- tures, rendering it unsuitable for image restoration. We also attempt to implement a Transformer-based decoder by re- placing the Conv-block with the Restormer-bloc...
Yang, Q., Yu, H. X., Wu, A., & Zheng, W.-S. (2019). Patch-based discriminative feature learning for unsupervised person re-identification. InProceedings of the IEEE/CVF conference on computer vision and pattern recognition(pp. 3633–3642). Piscataway: IEEE. Google Scholar Ji, Z., Zou...