Project Page | Paper | Data (coming soon) |
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📖Dereflection Any Image with Diffusion Priors and Diversified Data
Jichen Hu1*, Chen Yang1*, Zanwei Zhou1, Jiemin Fang2†, Xiaokang Yang1, Qi Tian2, Wei Shen1✉†,
1MoE Key Lab of Artificial Intelligence, AI Institute, SJTU 2Huawei Inc.
*Equal contribution. †Project lead. ✉Corresponding author.
- Release inference code
- Release pretrained model weights
- Release project page
- Release paper
- Release dataset
- Release training code
Dereflection Any Image is tested with CUDA 11.8 and python 3.9. All the required packages are listed in requirements.txt
. You can install them with
pip install -r requirements.txt
Our scripts will automatically download the pretrained weights from Huggingface.
You can also download the weights by Google Drive or Huggingface
Put images in the "input" dir, and run:
python run.py --input_dir ./input/ --result_dir ./result/ --concat_dir ./concat/
or use script run.sh directly.
python demo.py
If you find Derefelection Any Image useful for your work please cite:
@misc{hu2025dereflection,
title={Dereflection Any Image with Diffusion Priors and Diversified Data},
author={Jichen Hu and Chen Yang and Zanwei Zhou and Jiemin Fang and Xiaokang Yang and Qi Tian and Wei Shen},
year={2025},
eprint={2503.17347},
archivePrefix={arXiv},
primaryClass={cs.CV}
}