Toward Practical Phase Retrieval with Deep Learning - IPAM at UCLA
Explore a 35-minute conference talk on phase retrieval and deep learning presented by Ju Sun from the University of Minnesota, Twin Cities. Delve into the challenges of phase retrieval, a crucial process in scientific imaging that involves reconstructing signals from Fourier magnitudes. Examine recent breakthroughs in simplified versions of the problem and understand why effective methods for the original phase retrieval problem remain elusive. Discover the potential and limitations of conventional formulations and deep learning approaches. Learn about new methods that tackle practical phase retrieval problems in unprecedented ways. Gain insights into this complex topic as part of IPAM's Diffractive Imaging with Phase Retrieval Workshop held at UCLA.