# OpenImagingLab/DualDn

<https://repo.masters-masters.com/en/repos/OpenImagingLab/DualDn>

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

OpenImagingLab/DualDn has 105 stars on GitHub. Its RepoMasters card: Prototype tier. \[ECCV2024\] DualDn: Dual-domain Denoising via Differentiable ISP. •…

| Field | Value |
| --- | --- |
| Owner | [OpenImagingLab](https://repo.masters-masters.com/en/owners/OpenImagingLab) |
| Stars | 105 |
| Forks | 6 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | pytorch, eccv2024, real-image-denoising, generalization-ability, low-level-vision, state-of-the-art-models, dual-domain-denoising, image-processing-pipeline, image-denoising, image-restoration |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [OpenImagingLab/DualDn](https://github.com/OpenImagingLab/DualDn) |

## Repository

\[ECCV2024\] DualDn: Dual-domain Denoising via Differentiable ISP. • State-of-the-art for real-image denoising • Strong performance & generalization

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.