# jiaxi-jiang/FBCNN

<https://repo.masters-masters.com/en/repos/jiaxi-jiang/FBCNN>

[Home](https://repo.masters-masters.com/en) › [jiaxi-jiang](https://repo.masters-masters.com/en/owners/jiaxi-jiang) › [FBCNN](https://repo.masters-masters.com/en/repos/jiaxi-jiang/FBCNN)

jiaxi-jiang/FBCNN has 538 stars on GitHub. Its RepoMasters card: Alpha tier. Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal…

| Field | Value |
| --- | --- |
| Owner | [jiaxi-jiang](https://repo.masters-masters.com/en/owners/jiaxi-jiang) |
| Stars | 538 |
| Forks | 53 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | image-restoration, jpeg-artifacts-removal, deep-learning, iccv2021, pytorch, computer-vision, image-processing, image-denoising, fbcnn, jpeg-compression |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jiaxi-jiang/FBCNN](https://github.com/jiaxi-jiang/FBCNN) |

## Repository

Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

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.
