UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data

This is the Pytorch implementation of our TCSVT 2022 paper UPHDR-GAN.

Dependencies

• Pytorch>=1.5.0
• Other requirements please refer torequirements.txt.

Results

Citation

@article{li2022uphdr,
  title={Uphdr-gan: Generative adversarial network for high dynamic range imaging with unpaired data},
  author={Li, Ru and Wang, Chuan and Wang, Jue and Liu, Guanghui and Zhang, Heng-Yu and Zeng, Bing and Liu, Shuaicheng},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  volume={32},
  number={11},
  pages={7532--7546},
  year={2022},
  publisher={IEEE}
}

Acknowledgments

In this project we use (parts of) the implementations of the following works:

• NHDRRNet-pytorch
• HDR-GAN

We thank the respective authors for open sourcing of their implementations.