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Official PyTorch implementation of TransforMatcher: Match-to-Match Attention for Semantic Correspondence (CVPR 2022 Poster)

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transformatcher

Official PyTorch implementation of TransforMatcher: Match-to-Match Attention for Semantic Correspondence (CVPR 2022 Poster)

Website | Paper

The code is under refactoring at the moment, so that it will be better understandable and usable by anyone!

For now, please refer to our code snippet which include the most crucial components of our pipeline.

Citation

If you find our code or paper to be useful for your research, please consider citing our work:

@inproceedings{swkim2022tfmatcher,
  title={TransforMatcher:Match-to-Match Attention for Semantic Correspondence},
  author={Kim, Seungwook and Min, Juhong and Cho, Minsu },
  booktitle = {Proceedings of the {IEEE/CVF} Conference on Computer Vision and Pattern Recognition (CVPR)},
  year      = {2022}
}

Contact

Seungwook Kim ([email protected])

Feel free to reach out to me!

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Official PyTorch implementation of TransforMatcher: Match-to-Match Attention for Semantic Correspondence (CVPR 2022 Poster)

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