Official Pytorch implementation of "Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks" (CVPR 2022)

Chanyong Jung*, Gihyun Kwon*, Jong Chul Ye (* co-first author)

Link: https://arxiv.org/abs/2203.01532

Supplementary Material: https://openaccess.thecvf.com/content/CVPR2022/supplemental/Jung_Exploring_Patch-Wise_Semantic_CVPR_2022_supplemental.pdf

Cite

@inproceedings{jung2022exploring,
  title={Exploring patch-wise semantic relation for contrastive learning in image-to-image translation tasks},
  author={Jung, Chanyong and Kwon, Gihyun and Ye, Jong Chul},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={18260--18269},
  year={2022}
}

Environment

$ conda create -n SRC python=3.6
$ pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
$ conda install -c conda-forge packaging 
$ conda install -c conda-forge visdom 
$ conda install -c conda-forge gputil 
$ conda install -c conda-forge dominate