This page provides the implementation used for the results in "Conditional Wasserstein Generator (CWG)" accepted for IEEE TPAMI 2022 [early access paper].
The pretrained pytorch models can be downloaded from the link in the attached txt file.
Please check the `code_prediction' folder.
Please check the `code_interpolation' folder.