Thibaut Issenhuth
Thibaut Issenhuth
Criteo AI Lab
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Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On
T Issenhuth, J Mary, C Calauzènes
European Conference on Computer Vision (ECCV), 2020
MVOR: A multi-view RGB-D operating room dataset for 2D and 3D human pose estimation
V Srivastav, T Issenhuth, A Kadkhodamohammadi, M de Mathelin, ...
MICCAI-LABELS workshop, 2018
Learning disconnected manifolds: a no GANs land
U Tanielian, T Issenhuth, E Dohmatob, J Mary
International Conference on Machine Learning (ICML), 2020
End-to-end learning of geometric deformations of feature maps for virtual try-on
T Issenhuth, J Mary, C Calauzènes
arXiv preprint arXiv:1906.01347, 2019
Face detection in the operating room: Comparison of state-of-the-art methods and a self-supervised approach
T Issenhuth, V Srivastav, A Gangi, N Padoy
International journal of computer assisted radiology and surgery 14, 1049-1058, 2019
EdiBERT, a generative model for image editing
T Issenhuth, U Tanielian, J Mary, D Picard
Transactions on Machine Learning Research (TMLR), 2022
Unifying GANs and Score-Based Diffusion as Generative Particle Models
JY Franceschi, M Gartrell, LD Santos, T Issenhuth, E de Bézenac, M Chen, ...
Neural Information Processing Systems (NeurIPS), 2023
Latent reweighting, an almost free improvement for GANs
T Issenhuth, U Tanielian, D Picard, J Mary
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Unveiling the Latent Space Geometry of Push-Forward Generative Models
T Issenhuth, U Tanielian, J Mary, D Picard
International Conference on Machine Learning (ICML), 2023
Optimal precision for GANs
T Issenhuth, U Tanielian, J Mary, D Picard
arXiv preprint arXiv:2207.10541, 2023
Improving Consistency Models with Generator-Induced Coupling
T Issenhuth, LD Santos, JY Franceschi, A Rakotomamonjy
arXiv preprint arXiv:2406.09570, 2024
Learning multi-modal distributions and image editing with deep generative models
T Issenhuth
École des Ponts ParisTech, 2023
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