• Corpus ID: 230649394

Generator Surgery for Compressed Sensing

@article{SmedemarkMargulies2021GeneratorSF,
  title={Generator Surgery for Compressed Sensing},
  author={Niklas Smedemark-Margulies and Jung Yeon Park and Max Daniels and Rose Yu and J.-W. van de Meent and Paul Hand},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.11163}
}
Image recovery from compressive measurements requires a signal prior for the images being reconstructed. Recent work has explored the use of deep generative models with low latent dimension as signal priors for such problems. However, their recovery performance is limited by high representation error. We introduce a method for achieving low representation error using generators as signal priors. Using a pre-trained generator, we remove one or more initial blocks at test time and optimize over… 

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