MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

Baoren Xiao, Hao Ni, Weixin Yang

Generative adversarial networks (GANs) have emerged as a powerful tool for generating high-fidelity data. However, the main bottleneck of existing approaches is the lack of supervi…