One of the problems with most GANs is that despite their hierarchical convolutional nature, the synthesis process of typical models depends on absolute pixel coordinates leading to glued artifacts. You've probably seen these generated faces that don't look real enough in motion due to some details being stuck at certain points.
"We trace the root cause to careless signal processing that causes aliasing in the generator network," wrote NVIDIA in a new paper. "Interpreting all signals in the network as continuous, we derive generally applicable, small architectural changes that guarantee that unwanted information cannot leak into the hierarchical synthesis process."
