2 papers
cs.CV2025
Nested Annealed Training Scheme for Generative Adversarial Networks
Chang Wan, Ming-Hsuan Yang, Minglu Li +2
Recently, researchers have proposed many deep generative models, including generative adversarial networks(GANs) and denoising diffusion models. Although significant breakthroughs…
cs.CV2025
A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs
Chang Wan, Ke Fan, Xinwei Sun +4
This paper introduces a promising alternative method for training Generative Adversarial Networks (GANs) on large-scale datasets with clear theoretical guarantees. GANs are typical…