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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…
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…