Phase Retrieval using Single-Instance Deep Generative Prior

06/09/2021
by   Kshitij Tayal, et al.
0

Several deep learning methods for phase retrieval exist, but most of them fail on realistic data without precise support information. We propose a novel method based on single-instance deep generative prior that works well on complex-valued crystal data.

READ FULL TEXT
research
11/02/2022

Practical Phase Retrieval Using Double Deep Image Priors

Phase retrieval (PR) concerns the recovery of complex phases from comple...
research
10/23/2021

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors

Recent works have shown the surprising effectiveness of deep generative ...
research
07/12/2022

GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image

Puzzle solving is a combinatorial challenge due to the difficulty of mat...
research
11/01/2022

DOLPH: Diffusion Models for Phase Retrieval

Phase retrieval refers to the problem of recovering an image from the ma...
research
07/16/2020

DeepInit Phase Retrieval

This paper shows how data-driven deep generative models can be utilized ...
research
07/28/2022

A Deep Generative Approach to Oversampling in Ptychography

Ptychography is a well-studied phase imaging method that makes non-invas...
research
03/20/2023

Learning to Generate 3D Representations of Building Roofs Using Single-View Aerial Imagery

We present a novel pipeline for learning the conditional distribution of...

Please sign up or login with your details

Forgot password? Click here to reset