3 papers
cs.CV2026
Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching
Hongjie Wu, Yiping Xie, Jiancheng Lv
Latent Flow Models have revolutionized compressed-space image synthesis, yet their application to high-fidelity inverse problems remains bottlenecked. In this paper, we trace this…
cs.CV2025
Enhancing Diffusion Model Stability for Image Restoration via Gradient Management
Hongjie Wu, Mingqin Zhang, Linchao He +2
Diffusion models have shown remarkable promise for image restoration by leveraging powerful priors. Prominent methods typically frame the restoration problem within a Bayesian infe…
eess.IV2024
Diffusion Posterior Proximal Sampling for Image Restoration
Hongjie Wu, Linchao He, Mingqin Zhang +6
Diffusion models have demonstrated remarkable efficacy in generating high-quality samples. Existing diffusion-based image restoration algorithms exploit pre-trained diffusion model…