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Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method
Weimin Bai,
Weiheng Tang,
Enze Ye,
Siyi Chen,
Wenzheng Chen,
He Sun
arXiv, 2024
We proposed a principled EM framework for learning clean diffusion models from noisy measurements with arbitrary corruption types, enhancing the E-step of EMDiffusion by upgrading the DPS algorithm to a plug-and-play Monte Carlo (PMC) method.
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Recording dynamic facial micro-expressions with a multi-focus camera array
Lucas Kreiss,
Weiheng Tang,
Ramana Balla,
Xi Yang,
Amey Chaware,
Kanghyun Kim,
Clare B. Cook,
Aurelien Begue,
Clay Dugo,
Mark Harfouche,
Kevin C. Zhou,
Roarke Horstmeyer
arXiv, 2024
We developed a multi-focus imaging system comprising a 54-camera array by adjusting focal plane distribution to capture dynamic facial expressions with high resolution, large field-of-view, and extended depth-of-field.
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