2 papers
cs.LG2026
Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling
Aihua Zhu, Rui Su, Qinglin Zhao +3
Diffusion probabilistic models have set a new standard for generative fidelity but are hindered by a slow iterative sampling process. A powerful training-free strategy to accelerat…
cs.CV2026
Integrating Reinforcement Learning with Visual Generative Models: Foundations and Advances
Yuanzhi Liang, Yijie Fang, Ke Hao +4
Generative models have made significant progress in synthesizing visual content, including images, videos, and 3D/4D structures. However, they are typically trained with surrogate…