TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence

13 March 2022

Papers citing "TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence"

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Title
Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation Xingguang Zhang Nicholas Chimitt Xijun Wang Yu Yuan Stanley H. Chan 36 0 0 03 Apr 2025
Physics-Driven Turbulence Image Restoration with Stochastic Refinement Ajay Jaiswal Xingguang Zhang Stanley H. Chan Zhangyang Wang 26 21 0 20 Jul 2023
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 490 0 01 Feb 2022
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 188 83 0 15 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018