Regularising inverse problems with generative machine learning models

DOI10.1007/s10851-023-01162-xarXiv2107.11191OpenAlexW3183492725MaRDI QIDQ6154435

Matthias J. Ehrhardt, Neill D. F. Campbell, M. A. G. Duff

Publication date: 15 February 2024

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.11191

zbMATH Keywords

inverse problemsmachine learningimaginggenerative models

Mathematics Subject Classification ID

Computational learning theory (68Q32) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)

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