This repository contains pretrained models for Stochastic Latent Residual Video Prediction (SRVP), originally developed by Jean-Yves Franceschi, Edouard Delasalles, Mickael Chen, Sylvain Lamprier, and Patrick Gallinari. This is a mirror of the official pretrained models for easier access and preservation.
The model generates future video frames by learning a stochastic latent dynamics model that captures both deterministic motion and inherent uncertainty in future predictions.
This repository contains pretrained models for all datasets mentioned in the original paper:
Please refer to the
original repository for detailed usage instructions and code implementation.
1@inproceedings{franceschi2020stochastic,
2 title={Stochastic latent residual video prediction},
3 author={Franceschi, Jean-Yves and Delasalles, Edouard and Chen, Micka{\"e}l and Lamprier, Sylvain and Gallinari, Patrick},
4 booktitle={International Conference on Machine Learning},
5 pages={3233--3246},
6 year={2020},
7 organization={PMLR}
8}
This model mirror is released under Apache 2.0 license, the same as the original repository.
Thanks to the original authors for making their models publicly available. This is an unofficial mirror created for preservation and easier access through Hugging Face.
