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LM-VTON (AAAI 2021)

The official pytorch implementation of LM-VTON : "Toward Realistic Virtual Try-on Through Landmark-guided Shape Matching"

Code

  1. Download all need data include extra_data.zip, mpv_data.zip, viton_data.zip to the data folder. [Google Drive]

  2. Download all checkpoint to the checkpoint folder. [Google Drive]

  3. Run in first stage. For example, on mpv dataset, you could refer to first_stage/mpv_scripts/mpv_add_point_vgg_train.sh

  4. Run in second stage. For example, on mpv dataset, you could refer to second_stage/content_fusion_mpv_train.sh

License

The use of this code is restricted to non-commercial research and educational purposes.