Tags: TUM-ML-Lab18/FaceSwap
Tags
Running version of PGGAN with Wasserstein loss * Memory Leaks!!! * No multi GPU support!!!
Working CGAN with 3 losses * tested with 5 landmarks & all landmarks * tested on CelebA * Images & features centered at 0, range [-1,1], loaded from numpy arrays
Tested CGAN implementation * Landmarks should not be normalized -> Range: [0,1] * Images should be normalized and centered -> Range: [-1,1] Tested with CelebA64, 5 Landmarks, 100d RandomNoise and NO generated landmarks