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cs.CV2025
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
Deliang Wei, Peng Chen, Haobo Xu +3
Plug-and-play (PnP) methods with deep denoisers have shown impressive results in imaging problems. They typically require strong convexity or smoothness of the fidelity term and a…
cs.CV2025
Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors
Marien Renaud, Julien Hermant, Deliang Wei +1
Fast convergence and high-quality image recovery are two essential features of algorithms for solving ill-posed imaging inverse problems. Existing methods, such as regularization b…