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cs.CV2023
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization
Kyle Luther, H. Sebastian Seung
Inverse problems generally require a regularizer or prior for a good solution. A recent trend is to train a convolutional net to denoise images, and use this net as a prior when so…
eess.IV2023
Stretched sinograms for limited-angle tomographic reconstruction with neural networks
Kyle Luther, Sebastian Seung
We present a direct method for limited angle tomographic reconstruction using convolutional networks. The key to our method is to first stretch every tilt view in the direction per…