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Adaptive Compressed Sensing With Diffusion-Based Posterior Sampling by kevinwang991020 is a document available to read on EtoBox.

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The document presents AdaSense, a novel Adaptive Compressed Sensing (CS) approach that utilizes zero-shot posterior sampling with pre-trained diffusion models for efficient image acquisition and reconstruction. AdaSense dynamically selects future measurements based on previously acquired data, eliminating the need for complex training and allowing for seamless adaptation across various domains, including medical imaging. Experimental results demonstrate its effectiveness in reconstructing facial images and

Author

kevinwang991020

Language

EN