Quantization of Generative Adversarial Networks for Efficient Inference: a Methodological Study

Pavel Andreev, Alexander Fritzler, Dmitry Vetrov

Generative adversarial networks (GANs) have an enormous potential impact on digital content creation, e.g., photo-realistic digital avatars, semantic content editing, and quality e…