jinyeying / DeS3_Deshadow

[AAAI'2024] DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity. First diffusion-based shadow removal performs robustly on hard, soft and self shadows. https://arxiv.org/abs/2211.08089

DeS3_Deshadow (AAAI'2024)

Introduction

This is an implementation of DeS3: Attention-driven Self and Soft Shadow Removal using ViT Similarity and Color Convergence

1. SRD Dataset Results:

DeS3-SRD

Acknowledgments

Code is implemented based WeatherDiffusion, we would like to thank them.

License

The code and models in this repository are licensed under the MIT License for academic and other non-commercial uses.
For commercial use of the code and models, separate commercial licensing is available. Please contact:

• Jonathan Tan ([e-mail])

Citations

If this work is useful for your research, please cite our paper.

@article{jin2022des3,
  title={DeS3: Attention-driven Self and Soft Shadow Removal using ViT Similarity and Color Convergence},
  author={Jin, Yeying and Yang, Wenhan and Ye, Wei and Yuan, Yuan and Tan, Robby T},
  journal={arXiv preprint arXiv:2211.08089},
  year={2022}
}