Zhe-Ping Ding

A Systematic Comparison and Fusion of Generative Adversarial Networks and Diffusion Models for Image Generation

Generative Adversarial Networks (GANs) and diffusion models are two mainstream approaches in image generation. Although their underlying principles differ, both can be unified under the framework of particle models (PMs). GANs enable fast generation but suffer from unstable training and mode collapse, whereas diffusion...