NeRV: Neural Representations for Videos

Abstract

We propose a novel image-wise neural representation (NeRV) to encodes videos in neural networks, which takes frame index as input and outputs the corresponding RGB image. Compared to image-wise neural representation, NeRV imrpoves encoding speed by 25× to 70×, decoding speed by 38× to 132×. And it also shows comparable preformance for visual compression and denoising task.

Publication
NeurIPS 2021
Hanyu Wang
Hanyu Wang
Ph.D. Student

My research interests include computer vision and deep learning.