3 papers
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…
math.OC2025
Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
Chenglong Bao, Liang Chen, Jiahong Li +1
Gradient restarting has been shown to improve the numerical performance of accelerated gradient methods. This paper provides a mathematical analysis to understand these advantages.…