Parameter and Data-Efficient Spectral StyleDCGAN
Aryan Garg
We present a simple, highly parameter, and data-efficient adversarial network
for unconditional face generation. Our method: Spectral Style-DCGAN or SSD
utilizes only 6.574 million parameters and 4739 dog faces from the Animal Faces
HQ (AFHQ) dataset as training samples while preserving fidelity at low
resolutions up to 64x64. Code available at
https://github.com/Aryan-Garg/StyleDCGAN.