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 Kruse, J, Ardizzone, L, Rother, C and K\'f6the, U (2019). Benchmarking Invertible Architectures On Inverse Problems\par \par  Ardizzone, L, L\'fcth, C, Kruse, J, Rother, C and K\'f6the, U (2019). Guided Image Generation with Conditional Invertible Neural Networks. http://arxiv.org/abs/1907.02392\par \par  Ardizzone, L, L\'fcth, C, Kruse, J, Rother, C and K\'f6the, U (2019). Guided Image Generation with Conditional Invertible Neural Networks. http://arxiv.org/abs/1907.02392\par \par  Kruse, J, Rother, C and Schmidt, U (2017). Learning to Push the Limits of Efficient FFT-Based Image Deconvolution. Proceedings of the IEEE International Conference on Computer Vision. 2017-Octob 4596?4604\par \par  Kruse, J, Rother, C, Schmidt, U and Dresden, T U (2017). Learning To Push The Limits Of Efficient Fft-Based Image Deconvolution - Supplemental Material\par \par }