2 code implementations • 5 Feb 2019 • Yuma Kishi, Tsutomu Ikegami, Shin-ichi O'uchi, Ryousei Takano, Wakana Nogami, Tomohiro Kudoh
Perturbative GAN, which replaces convolution layers of existing convolutional GANs (DCGAN, WGAN-GP, BIGGAN, etc.)