Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. (arXiv:2202.10571v1 [cs.CV])

In the deep learning era, long video generation of high-quality still remains
challenging due to the spatio-temporal complexity and continuity of videos.
Existing prior works have attempted to model video distribution by representing
videos as 3D grids of RGB values, which impedes the scale of generated videos
and neglects continuous dynamics. In this paper, we found that the recent
emerging paradigm of implicit neural representations (INRs) that encodes a
continuous signal into a parameterized neural network effectively mitigates the
issue. …

arxiv cv generative adversarial networks networks videos