USTC Develops Breakthrough Framework to Address Mode Collapse in Generative Adversarial Networks
Generative Adversarial Network (GAN) is widely used to synthesize intricate and realistic data by learning the distribution of authentic real samples. However, a significant challenge that GAN faces is mode collapse, where the diversity of…