Awesome
<div align="center"> <samp> <h1> LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion </h1> <h4> <b>Tong Chen†, Qingcheng Lyu†, Long Bai†</b>, Erjian Guo, Huxin Gao, Xiaoxiao Yang, Hongliang Ren, and Luping Zhou </h3> <h4> Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024 </h3> <h3> Best Paper Runner-Up Award </h3> </samp>[arXiv] | [Paper] |
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Update
[10/24/2024] Our Dataset is now available in here.
[10/9/2024] We received MICCAI2024 Best Paper Runner-Up!
[9/3/2024] Our work received Oral Presentation on MICCAI2024!
[7/20/2024] Fixed some bugs.
[5/13/2024] Our work got early accepted by MICCAI2024!
[5/17/2024] Our code is now available!
Schematics
Results
Pre-installation
conda create -n lightdiff python=3.10
conda activate lightdiff
conda install pytorch==2.0.1 torchvision torchaudio cudatoolkit -c pytorch
cd BasicSR-light
pip install -r requirements.txt
BASICSR_EXT=True sudo $(which python) setup.py develop
cd ../LighTDiff
pip install -r requirements.txt
BASICSR_EXT=True sudo $(which python) setup.py develop
Test
python lightdiff/train.py -opt configs/test.yaml
Train
python lightdiff/train.py -opt configs/train.yaml