4 papers
A Posterior-Dynamics Framework for Imaging Inverse Problems with Pretrained Diffusion Priors
Zhaoqiang Liu, Tongyao Pang, Ruibing Wang +1
Pretrained diffusion models represent image distributions through a continuum of progressively smoothed distributions. This multiscale structure organizes generation from global st…
Forward-Evolution Error Analysis and Adaptive Design for Matrix-Valued Diffusion Models
Tongyao Pang, Zuowei Shen, Ruitong Zhang
Diffusion models learn to reverse a predefined corruption process, but sampling still requires a costly time discretization and depends on the chosen noise schedule. We study these…
Outlier-Robust Diffusion Solvers for Inverse Problems
Yang Zheng, Jiahua Liu, Tongyao Pang +2
Methods based on diffusion models (DMs) for solving inverse problems (IPs) have recently achieved remarkable performance. However, DM-based methods typically struggle against outli…
Enhancing Low-resolution Image Representation Through Normalizing Flows
Chenglong Bao, Tongyao Pang, Zuowei Shen +2
Low-resolution image representation is a special form of sparse representation that retains only low-frequency information while discarding high-frequency components. This property…