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 | 109 | 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 | 62 | 2018 |
Learning disconnected manifolds: a no GANs land U Tanielian, T Issenhuth, E Dohmatob, J Mary International Conference on Machine Learning (ICML), 2020 | 40 | 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 | 25 | 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 | 18 | 2019 |
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 | 15 | 2023 |
EdiBERT, a generative model for image editing T Issenhuth, U Tanielian, J Mary, D Picard Transactions on Machine Learning Research (TMLR), 2022 | 12 | 2022 |
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 | 6 | 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 | 3 | 2023 |
Optimal precision for GANs T Issenhuth, U Tanielian, J Mary, D Picard arXiv preprint arXiv:2207.10541, 2023 | 1 | 2023 |
Improving Consistency Models with Generator-Induced Coupling T Issenhuth, LD Santos, JY Franceschi, A Rakotomamonjy arXiv preprint arXiv:2406.09570, 2024 | | 2024 |
Learning multi-modal distributions and image editing with deep generative models T Issenhuth École des Ponts ParisTech, 2023 | | 2023 |