Pytorch implementation of Multimodal Unsupervised Image-to-Image Translation.

https://github.com/Lyusungwon/munit_pytorch

Reference

  • https://github.com/NVlabs/MUNIT

Note

My impression on this paper differed a lot from the first time when I read this paper.

  • 8+ models took all of my memory, so I had to train with batch size < 4.
  • 8 latent variables vs 256 * H * W content variables?? Really???
  • Seems like ‘Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization’ should take credit for good quality of samples
  • Would only work in image. Need to find other model for audio.
  • DATASET PLEASE!!