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GitHub / cuiziteng / Illumination-Adaptive-Transformer
[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.
Stars: 433
Forks: 44
Open Issues: 14
License: apache-2.0
Language: Python
Repo Size: 29.4 MB
Dependencies:
85
Created: over 2 years ago
Updated: 4 days ago
Last pushed: 3 months ago
Last synced: 3 days ago
Topics: bmvc, exposure-correction, image-enhancement, image-reconstruction, image-restoration, low-level-vision, low-light-enhance, low-light-image-enhancement, pytorch, transformer-architecture, transformer-models
Files
Dependencies
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
- albumentations >=0.3.2
- asynctest *
- cityscapesscripts *
- codecov *
- cython *
- flake8 *
- imagecorruptions *
- interrogate *
- isort ==4.3.21
- kwarray *
- matplotlib *
- mmtrack *
- numpy *
- onnx ==1.7.0
- onnxruntime ==1.5.1
- pycocotools *
- pycocotools-windows *
- pytest *
- scipy *
- six *
- sklearn *
- terminaltables *
- ubelt *
- xdoctest >=0.10.0
- yapf *
- albumentations >=0.3.2
- cityscapesscripts *
- imagecorruptions *
- scipy *
- sklearn *
- matplotlib *
- numpy *
- pycocotools *
- pycocotools-windows *
- six *
- terminaltables *
- docutils ==0.16.0
- myst-parser *
- sphinx ==4.0.2
- sphinx_copybutton *
- sphinx_markdown_tables *
- mmcv-full >=1.3.1,<=1.4.0