Thibaut Issenhuth

According to our database, Thibaut Issenhuth authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Consistency Models with Generator-Induced Coupling.

Thibaut Issenhuth, Ludovic Dos Santos, Jean-Yves Franceschi, Alain Rakotomamonjy

CoRR, 2024

2023

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).

Thibaut Issenhuth

PhD thesis, 2023

EdiBERT: a generative model for image editing.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

Trans. Mach. Learn. Res., 2023

Unifying GANs and Score-Based Diffusion as Generative Particle Models.

Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unveiling the Latent Space Geometry of Push-Forward Generative Models.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

Proceedings of the International Conference on Machine Learning, 2023

2022

Optimal precision for GANs.

Thibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard

CoRR, 2022

Latent reweighting, an almost free improvement for GANs.

Thibaut Issenhuth, Ugo Tanielian, David Picard, Jérémie Mary

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2020

Learning disconnected manifolds: a no GANs land.

Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary

CoRR, 2020

Learning disconnected manifolds: a no GAN's land.

Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob, Jérémie Mary

Proceedings of the 37th International Conference on Machine Learning, 2020

Do Not Mask What You Do Not Need to Mask: A Parser-Free Virtual Try-On.

Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

End-to-End Learning of Geometric Deformations of Feature Maps for Virtual Try-On.

Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes

CoRR, 2019

Face detection in the operating room: comparison of state-of-the-art methods and a self-supervised approach.

Thibaut Issenhuth, Vinkle Srivastav, Afshin Gangi, Nicolas Padoy

Int. J. Comput. Assist. Radiol. Surg., 2019

2018

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation.

Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy

CoRR, 2018