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20172026
most citedPrincipled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

2 citations · 3 across the 8 of their papers we have counts for

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Showing 2026 · cs.CVShow all

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cs.CV2026

ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging

Tianao Li, Tjitske Starkenburg, Yu Sun +1

Variational inference (VI) is a powerful method for principled posterior inference for scientific inverse imaging. VI learns the posterior distribution, often with a flow-based net…

cs.CV2026

Unpaired Image-to-Image Translation via a Self-Supervised Semantic Bridge

Jiaming Liu, Felix Petersen, Yunhe Gao +6

Adversarial diffusion and diffusion-inversion methods have advanced unpaired image-to-image translation, but each faces key limitations. Adversarial approaches require target-domai…