# deng-ai-lab/FADformer

<https://repo.masters-masters.com/en/repos/deng-ai-lab/FADformer>

[Home](https://repo.masters-masters.com/en) › [deng-ai-lab](https://repo.masters-masters.com/en/owners/deng-ai-lab) › [FADformer](https://repo.masters-masters.com/en/repos/deng-ai-lab/FADformer)

deng-ai-lab/FADformer has 160 stars on GitHub. Its RepoMasters card: Prototype tier. The official implementation of "Efficient Frequency-Domain Image…

| Field | Value |
| --- | --- |
| Owner | [deng-ai-lab](https://repo.masters-masters.com/en/owners/deng-ai-lab) |
| Stars | 160 |
| Forks | 7 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [deng-ai-lab/FADformer](https://github.com/deng-ai-lab/FADformer) |

## Repository

The official implementation of "Efficient Frequency-Domain Image Deraining with Contrastive Regularization" 【ECCV2024】

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.