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Books and Theses
- 2023
[b1]Thibaut Issenhuth:
Learning multi-modal distributions and image editing with deep generative models. (Apprentissage de distributions multi-modales et éditions d'image avec des modèles génératifs profonds). École des ponts ParisTech, Champs-sur-Marne, France, 2023
Journal Articles
- 2023
- [j2]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
EdiBERT: a generative model for image editing. Trans. Mach. Learn. Res. 2023 (2023) - 2019
- [j1]Thibaut Issenhuth
, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1049-1058 (2019)
Conference and Workshop Papers
- 2023
- [c5]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
Unveiling the Latent Space Geometry of Push-Forward Generative Models. ICML 2023: 14422-14444 - [c4]Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy:
Unifying GANs and Score-Based Diffusion as Generative Particle Models. NeurIPS 2023 - 2022
- [c3]Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary:
Latent reweighting, an almost free improvement for GANs. WACV 2022: 3574-3583 - 2020
- [c2]Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes:
Do Not Mask What You Do Not Need to Mask: A Parser-Free Virtual Try-On. ECCV (20) 2020: 619-635 - [c1]Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary:
Learning disconnected manifolds: a no GAN's land. ICML 2020: 9418-9427
Informal and Other Publications
- 2024
- [i10]Thibaut Issenhuth, Ludovic Dos Santos, Jean-Yves Franceschi, Alain Rakotomamonjy:
Improving Consistency Models with Generator-Induced Coupling. CoRR abs/2406.09570 (2024) - 2023
- [i9]Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy:
Unifying GANs and Score-Based Diffusion as Generative Particle Models. CoRR abs/2305.16150 (2023) - 2022
- [i8]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
Optimal precision for GANs. CoRR abs/2207.10541 (2022) - 2021
- [i7]Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary:
Latent reweighting, an almost free improvement for GANs. CoRR abs/2110.09803 (2021) - [i6]Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard:
EdiBERT, a generative model for image editing. CoRR abs/2111.15264 (2021) - 2020
- [i5]Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary:
Learning disconnected manifolds: a no GANs land. CoRR abs/2006.04596 (2020) - [i4]Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes:
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On. CoRR abs/2007.02721 (2020) - 2019
- [i3]Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes:
End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On. CoRR abs/1906.01347 (2019) - 2018
- [i2]Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy:
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation. CoRR abs/1808.08180 (2018) - [i1]Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy:
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach. CoRR abs/1811.12296 (2018)
Coauthor Index
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