3 papers
math.ST2026
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…
cs.CV2026
Unpaired Joint Distribution Modeling via Multi-Scale Image Representations
Yihang Zou, Hui Zhang, Zuowei Shen +1
This paper studies the problem of learning a joint distribution from marginal observations, which is inherently ill-posed due to the ambiguity of feasible couplings. We propose LUD…
cs.CV2026
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…