/Pose-Guided-Person-Image-Generation

Testing code of NIPS 2017 paper "Pose Guided Person Image Generation"

Primary LanguagePython

Pose-Guided-Person-Image-Generation

Tensorflow implementation of NIPS 2017 paper Pose Guided Person Image Generation

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Network architecture

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Resources

Testing steps

  1. Download the pretrained models and tf-record data.
  2. Move tf-record data in to ./data directory
  3. Modify the data, pretrained model path in the run_market.sh/run_DF.sh scripts.
  4. run run_market.sh or run_DF.sh

TODO list

  • Training and tf-record-data-preparation code

Citation

@inproceedings{DBLP:conf/nips/MaJSSTG17,
  title={Pose Guided Person Image Generation},
  author={Ma, Liqian and Jia, Xu and Sun, Qianru and Schiele, Bernt and Tuytelaars, Tinne and Van Gool, Luc},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference
               on Neural Information Processing Systems 2017, 4-9 December 2017,
               Long Beach, CA, {USA}},
  pages     = {405--415},
  year      = {2017}
}

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