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JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles With Generative Adversarial Networks

This is the Pytorch implementation of our TIP 2021 paper JigsawGAN.

image

Dependencies

  • Pytorch
  • Other requirements please refer to requirements.txt.

Results

image

To do

  • Reference label
  • Bou loss

Citation

@article{li2021jigsawgan,
  title={Jigsawgan: Auxiliary learning for solving jigsaw puzzles with generative adversarial networks},
  author={Li, Ru and Liu, Shuaicheng and Wang, Guangfu and Liu, Guanghui and Zeng, Bing},
  journal={IEEE Transactions on Image Processing},
  volume={31},
  pages={513--524},
  year={2021}
}

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[TIP 2021] JigsawGAN: Auxiliary Learning for Solving Jigsaw Puzzles With Generative Adversarial Networks

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