Memory-guided Unsupervised Image-to-image Translation

Pytorch implementation of the paper "Memory-guided Unsupervised Image-to-image Translation." [paper]

Datasets

• INIT [dataset]

Testing

Update soon!

BibTex

@inproceedings{jeong2021memory,
  title={Memory-guided Unsupervised Image-to-image Translation},
  author={Jeong, Somi and Kim, Youngjung and Lee, Eungbean and Sohn, Kwanghoon},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6558--6567},
  year={2021}
}

Acknowledgement

The code benefits from outstanding prior work and their implementations including:

• Diverse Image-to-Image Translation via Disentangled Representations by Lee et al. ECCV 2018. (code)
• Learning Memory-guided Normality for Anomaly Detection by Park et al. CVPR 2020. (code)