Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems

DOI10.1137/20M1317992zbMath1497.68438arXiv1909.12116OpenAlexW3111841671MaRDI QIDQ5143340

Jong Chul Ye, Byeongsu Sim, Chanyong Jung, Gyutaek Oh, Jeongsol Kim

Publication date: 11 January 2021

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.12116

zbMATH Keywords

inverse problemsunsupervised learningoptimal transportpenalized least squaresCycleGAN

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45) Numerical solution to inverse problems in abstract spaces (65J22)

Related Items

Adversarially learned iterative reconstruction for imaging inverse problems

Uses Software

• Adam
• CycleGAN
• pix2pix
• U-Net
• QuickPALM
• compsensing_dip
• Wasserstein GAN

Cites Work

• Computational Optimal Transport: With Applications to Data Science
• Blind Image Deconvolution
• Optimal Transport
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