# mihirp1998/VADER

<https://repo.masters-masters.com/en/repos/mihirp1998/VADER>

[Home](https://repo.masters-masters.com/en) › [mihirp1998](https://repo.masters-masters.com/en/owners/mihirp1998) › [VADER](https://repo.masters-masters.com/en/repos/mihirp1998/VADER)

mihirp1998/VADER has 318 stars on GitHub. Its RepoMasters card: Alpha tier. Video Diffusion Alignment via Reward Gradients. We improve a variety of video…

| Field | Value |
| --- | --- |
| Owner | [mihirp1998](https://repo.masters-masters.com/en/owners/mihirp1998) |
| Stars | 318 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | alignment, diffusion, rlhf, video-diffusion, reinforcement-learning, rl, vader, reinforcement-learning-human-feedback, video-diffusion-alignment |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [mihirp1998/VADER](https://github.com/mihirp1998/VADER) |

## Repository

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.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.