Web: http://arxiv.org/abs/2209.08452

Sept. 20, 2022, 1:12 a.m. | Kevin Zhang, Mingyang Xie, Maharshi Gor, Yi-Ting Chen, Yvonne Zhou, Christopher A. Metzler

cs.CV updates on arXiv.org arxiv.org

Deep image prior (DIP) is a recently proposed technique for solving imaging
inverse problems by fitting the reconstructed images to the output of an
untrained convolutional neural network. Unlike pretrained feedforward neural
networks, the same DIP can generalize to arbitrary inverse problems, from
denoising to phase retrieval, while offering competitive performance at each
task. The central disadvantage of DIP is that, while feedforward neural
networks can reconstruct an image in a single pass, DIP must gradually update
its weights over …

arxiv image meta prior

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