# caojiezhang/DeqIR

<https://repo.masters-masters.com/en/repos/caojiezhang/DeqIR>

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

caojiezhang/DeqIR has 110 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of "Deep Equilibrium Diffusion Restoration with…

| Field | Value |
| --- | --- |
| Owner | [caojiezhang](https://repo.masters-masters.com/en/owners/caojiezhang) |
| Stars | 110 |
| Forks | 3 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | colorization, deblurring, inpainting, real-world-super-resolution, super-resolution, old-photo-restoration |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [caojiezhang/DeqIR](https://github.com/caojiezhang/DeqIR) |

## Repository

PyTorch implementation of "Deep Equilibrium Diffusion Restoration with Parallel Sampling (CVPR 2024)"

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.