3 papers
cs.LG2026
A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows
Chenguang Wang, Tianshu Yu
We develop a unified theoretical framework for data-free one-step sampling from unnormalized target distributions based on Wasserstein gradient flows. For a broad class of standard…
cs.CV2026
Observation-Aligned Mask Priors for Learning Physical Dynamics from Authentic Occlusions
Chiyuan Ma, Zihan Zhou, Tianshu Yu
Learning physical dynamics directly from incomplete observations is challenging because authentic occlusions are structured, sample-dependent, and often missing not at random, wher…
cs.CV2026
DECADE: A Temporally-Consistent Unsupervised Diffusion Model for Enhanced Rb-82 Dynamic Cardiac PET Image Denoising
Yinchi Zhou, Liang Guo, Huidong Xie +14
Rb-82 dynamic cardiac PET imaging is widely used for the clinical diagnosis of coronary artery disease (CAD), but its short half-life results in high noise levels that degrade dyna…