1 code implementation • 6 Jun 2023 • Sriram Ravula, Varun Gorti, Bo Deng, Swagato Chakraborty, James Pingenot, Bhyrav Mutnury, Doug Wallace, Doug Winterberg, Adam Klivans, Alexandros G. Dimakis
DIP is a technique that optimizes the weights of a randomly-initialized convolutional neural network to fit a signal from noisy or under-determined measurements.
