mihirp1998 / VADER

Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.

Date Created 2024-06-23 (5 months ago)

Commits 70 (last one 3 months ago)

Stargazers 217 (3 this week)

Watchers 7 (0 this week)

Forks 14

License unknown

Ranking

RepositoryStats indexes 589,134 repositories, of these mihirp1998/VADER is ranked #169,412 (71st percentile) for total stargazers, and #270,214 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #29,963/117,584.

mihirp1998/VADER is also tagged with popular topics, for these it's ranked: reinforcement-learning (#486/1319)

Other Information

mihirp1998/VADER has Github issues enabled, there are 9 open issues and 8 closed issues.

There have been 3 releases, the latest one was published on 2024-07-12 (4 months ago) with the name VADER V1.0.

Homepage URL: https://vader-vid.github.io/

All Topics

rl rlhf vader alignment diffusion video-diffusion reinforcement-learning video-diffusion-alignment reinforcement-learning-human-feedback

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70 commits on the default branch (master) since jan '22

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updated: 2024-12-02 @ 06:39am, id: 819132711 / R_kgDOMNL5Jw