# aim-uofa/GenPercept

<https://repo.masters-masters.com/en/repos/aim-uofa/GenPercept>

[Home](https://repo.masters-masters.com/en) › [aim-uofa](https://repo.masters-masters.com/en/owners/aim-uofa) › [GenPercept](https://repo.masters-masters.com/en/repos/aim-uofa/GenPercept)

aim-uofa/GenPercept has 233 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR2025\] GenPercept: Diffusion Models Trained with Large Data Are…

| Field | Value |
| --- | --- |
| Owner | [aim-uofa](https://repo.masters-masters.com/en/owners/aim-uofa) |
| Stars | 233 |
| Forks | 7 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-2-Clause |
| Created | 2024 |
| Topics | depth-estimation, dichotomous-image-segmentation, human-pose-estimation, image-matting, monocular-depth-estimation, surface-normals, semantic-segmentation, one-step, iclr2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [aim-uofa/GenPercept](https://github.com/aim-uofa/GenPercept) |

## Repository

\[ICLR2025\] GenPercept: Diffusion Models Trained with Large Data Are Transferable Visual Models

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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