# cuiziteng/Illumination-Adaptive-Transformer

<https://repo.masters-masters.com/en/repos/cuiziteng/Illumination-Adaptive-Transformer>

[Home](https://repo.masters-masters.com/en) › [cuiziteng](https://repo.masters-masters.com/en/owners/cuiziteng) › [Illumination-Adaptive-Transformer](https://repo.masters-masters.com/en/repos/cuiziteng/Illumination-Adaptive-Transformer)

cuiziteng/Illumination-Adaptive-Transformer has 588 stars on GitHub. Its RepoMasters card: Alpha tier. 🌕 \[BMVC 2022\] You Only Need 90K Parameters to Adapt…

| Field | Value |
| --- | --- |
| Owner | [cuiziteng](https://repo.masters-masters.com/en/owners/cuiziteng) |
| Stars | 588 |
| Forks | 57 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | exposure-correction, low-light-enhance, transformer-architecture, transformer-models, low-level-vision, bmvc, image-enhancement, image-reconstruction, image-restoration, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [cuiziteng/Illumination-Adaptive-Transformer](https://github.com/cuiziteng/Illumination-Adaptive-Transformer) |

## Repository

🌕 \[BMVC 2022\] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

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.