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ldvdGAN: Lower Dimensional Kernels for Video Discriminators

This is the implementation of the paper Lower Dimensional Kernels for Video Discriminators based on MoCoGAN.

Along adding ldvd models to the code, I have fixed TF2, scipy and python3 compatibility problems but some parts still needs improvement.

To use the Factorized video disciminator in the paper use:

--video_discriminator FactorizedPatchVideoDiscriminator

option when specifying the video disciminator.

still missing features / other changes to original code:

  • This implementation does not reduce number of parameters as much as the original paper claims.
  • Time shifting is still not implemented
  • Frechet Inception distance and Inception score should be evaluated
  • Saving images, videos have been changed and might be sub-optimal.

For more details on training and generating videos, refer to the MoCoGAN repo.

ldvdgan's People

Contributors

happybahman avatar mingyuliutw avatar sergeytulyakov avatar stulyakovsc avatar vladyushchenko avatar

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