CVPR2023
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos
Qi Zhao, M. Salman Asif, Zhan Ma
Abstract
Figure 1. Results of the proposed DNeRV with 3M parameters for (a) video interpolation on UVG [26] and (b) video inpainting on Davis [30]. The superior performance shows the effectiveness and generalization capability of DNeRV on neural representation for videos.