Latent Generative Models with Tunable Complexity for Compressed Sensing and other Inverse Problems

arXiv:2603.07357v2 Announce Type: replace Abstract: Generative models have emerged as powerful priors for solving inverse problems. These models typically represent a class of natural signals using a single fixed complexity or dimensionality. This can be limiting: depending on...

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