Benchmarking invertible architectures on inverse problems

J Kruse, L Ardizzone, C Rother, U Köthe - arXiv preprint arXiv:2101.10763, 2021 - arxiv.org
Recent work demonstrated that flow-based invertible neural networks are promising tools for
solving ambiguous inverse problems. Following up on this, we investigate how ten invertible …

Benchmarking Invertible Architectures on Inverse Problems

J Kruse, L Ardizzone, C Rother, U Köthe - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Recent work demonstrated that flow-based invertible neural networks are promising tools for
solving ambiguous inverse problems. Following up on this, we investigate how ten invertible …