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cs.CV2025
InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
Noam Elata, Hyungjin Chung, Jong Chul Ye +2
Diffusion Models have demonstrated remarkable capabilities in handling inverse problems, offering high-quality posterior-sampling-based solutions. Despite significant advances, a f…
cs.CV2025
Proxies for Distortion and Consistency with Applications for Real-World Image Restoration
Sean Man, Guy Ohayon, Ron Raphaeli +1
Real-world image restoration deals with the recovery of images suffering from an unknown degradation. This task is typically addressed while being given only degraded images, witho…
cs.CV2025
SILO: Solving Inverse Problems with Latent Operators
Ron Raphaeli, Sean Man, Michael Elad
Consistent improvement of image priors over the years has led to the development of better inverse problem solvers. Diffusion models are the newcomers to this arena, posing the str…