# RWTHVision/diffusion-e2e-ft

<https://repo.masters-masters.com/en/repos/RWTHVision/diffusion-e2e-ft>

[Home](https://repo.masters-masters.com/en) › [RWTHVision](https://repo.masters-masters.com/en/owners/RWTHVision) › [diffusion-e2e-ft](https://repo.masters-masters.com/en/repos/RWTHVision/diffusion-e2e-ft)

RWTHVision/diffusion-e2e-ft has 524 stars on GitHub. Its RepoMasters card: Alpha tier. \[WACV'25 Oral\] Fine-Tuning Image-Conditional Diffusion Models is Easier…

| Field | Value |
| --- | --- |
| Owner | [RWTHVision](https://repo.masters-masters.com/en/owners/RWTHVision) |
| Stars | 524 |
| Forks | 22 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | diffusion, in-the-wild, monocular-depth-estimation, single-step, zero-shot, monocular-normals-estimation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [RWTHVision/diffusion-e2e-ft](https://github.com/RWTHVision/diffusion-e2e-ft) |

## Repository

\[WACV'25 Oral\] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

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.