Author

U. Kamilov

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Preprint Sep 2026

FIRM: Flow-based Imaging via Regularized Minimization

Flow matching methods for imaging inverse problems typically incorporate measurements through network conditioning or guidance during sampling. Neither approach explicitly applies the forward operator within the learned conditional velocity field. We develop a principled measurement-conditional velocity parameterizatio...

Shirin Shoushtari, Edward P. Chandler, Xiao Shi et al. · 0 citations

Preprint Sep 2026

SNaP: One-Step Posterior Sampling for Noisy Inverse Problems

SNaP is introduced, a one-step MeanFlow posterior sampler for linear inverse problems with Gaussian noise, which produces diverse, high-quality samples with one network evaluation per draw, 30 to 2250 $\times$ faster than iterative samplers.

Shirin Shoushtari, Edward P. Chandler, Xiao Shi et al. · 0 citations

Jul 2026

Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling

DenseAR is extended to a unified model that handles multiple modalities and imaging tasks within a single backbone that unifies cross-modal translation, modality-conditioned generation, and tumor segmentation, while remaining competitive with task-specific methods.

Chicago Y. Park, Jia-Lin Mao, Xiaojian Xu et al. · arXiv.org · 0 citations