CAREER: Provable, Flexible, & Scalable Integration of Physical and Diffusion Models for Probabilistic Imaging
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Computational imaging aims to recover meaningful visual information about an object or scene from measurements collected by an imaging system. In many important applications, however, those measurements are indirect, incomplete, and noisy, making it difficult to determine the true underlying image. For example, many three-dimensional microscopy…
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