CWRNN-INVR: A Coupled WarpRNN based Implicit Neural Video Representation
Implicit Neural Video Representation (INVR) has emerged as a novel approach for video representation and compression, using learnable grids and neural networks. Existing methods focus on developing new grid structures efficient for latent representation and neural network architectures with large representation capability, lacking the study on their roles in video representation. In this paper, the difference between INVR based on neural network and INVR based on grid is first investigated from the perspective of video information composition to specify their own advantages, i.e., neural network for general structure while grid for specific detail. Accordingly, an INVR based on mixed neur...
| Authors | Yiyang Li, Yanbo Gao, Shuai Li et al. |
|---|---|
| Primary category | eess.IV |
| Published | 8 April 2026 |
| Last updated at source | 8 April 2026 |
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