DeepInverse: A Python package for solving imaging inverse problems with deep learning

Python Submitted 26 May 2025 • Published 19 November 2025
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Authors

Julián Tachella (0000-0003-3878-9142), Matthieu Terris, Samuel Hurault, Andrew Wang (0000-0003-0838-7986), Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm (0000-0002-2251-3195)

Citation

Tachella et al., (2025). DeepInverse: A Python package for solving imaging inverse problems with deep learning. Journal of Open Source Software, 10(115), 8923, https://doi.org/10.21105/joss.08923

@article{Tachella2025, doi = {10.21105/joss.08923}, url = {https://doi.org/10.21105/joss.08923}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {115}, pages = {8923}, author = {Tachella, Julián and Terris, Matthieu and Hurault, Samuel and Wang, Andrew and Davy, Leo and Scanvic, Jérémy and Sechaud, Victor and Vo, Romain and Moreau, Thomas and Davies, Thomas and Chen, Dongdong and Laurent, Nils and Monroy, Brayan and Dong, Jonathan and Hu, Zhiyuan and Nguyen, Minh-Hai and Sarron, Florian and Weiss, Pierre and Escande, Paul and Massias, Mathurin and Modrzyk, Thibaut and Levac, Brett and Liaudat, Tobías I. and Song, Maxime and Hertrich, Johannes and Neumayer, Sebastian and Schramm, Georg}, title = {DeepInverse: A Python package for solving imaging inverse problems with deep learning}, journal = {Journal of Open Source Software} }
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PyTorch imaging inverse problems computational imaging deep learning

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