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Publication search results
found 56 matches
- 2024
- Benjamin Samuth, Julien Rabin, David Tschumperlé, Frédéric Jurie:
LATENTPATCH: A Non-Parametric Approach for Face Generation and Editing. CoRR abs/2401.16830 (2024) - Benjamin Sykes, Loïc Simon, Julien Rabin:
Unifying and extending Precision Recall metrics for assessing generative models. CoRR abs/2405.01611 (2024) - 2023
- Jalal Fadili, Abderrahim El Moataz, Loïc Simon, Julien Rabin, Yvain Quéau:
Guest Editorial JMIV Special Issue SSVM'21. J. Math. Imaging Vis. 65(1): 1-3 (2023) - Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions. J. Math. Imaging Vis. 65(1): 4-28 (2023) - Rodrigue Siry, Ryan Webster, Loïc Simon, Julien Rabin:
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity. J. Mach. Learn. Res. 24: 185:1-185:34 (2023) - Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs. Trans. Mach. Learn. Res. 2023 (2023) - Benjamin Samuth, Julien Rabin, David Tschumperlé, Frédéric Jurie:
LatentPatch: A Non-Parametric Approach for Face Generation and Editing. ICIP 2023: 1790-1794 - Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
On the De-duplication of LAION-2B. CoRR abs/2303.12733 (2023) - 2022
- Thibault Durand, Julien Rabin, David Tschumperlé:
Modular and Lightweight Networks for Bi-Scale Style Transfer. ICIP 2022: 1871-1875 - Benjamin Samuth, David Tschumperlé, Julien Rabin:
A Patch-Based Approach for Artistic Style Transfer Via Constrained Multi-Scale Image Matching. ICIP 2022: 3490-3494 - Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Width-Wise Parameter Sharing for Multi-Domain Gan Learning. ICIP 2022: 4163-4167 - 2021
- Arthur Leclaire, Julien Rabin:
A Stochastic Multi-layer Algorithm for Semi-discrete Optimal Transport with Applications to Texture Synthesis and Style Transfer. J. Math. Imaging Vis. 63(2): 282-308 (2021) - Thibault Durand, Julien Rabin, David Tschumperlé:
Shallow Multi-Scale Network For Stylized Super-Resolution. ICIP 2021: 2758-2762 - Amitoz Azad, Julien Rabin, Abderrahim Elmoataz:
Variational Models for Signal Processing with Graph Neural Networks. SSVM 2021: 320-332 - Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
Wasserstein Generative Models for Patch-Based Texture Synthesis. SSVM 2021: 269-280 - Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon:
Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Virtual Event, May 16-20, 2021, Proceedings. Lecture Notes in Computer Science 12679, Springer 2021, ISBN 978-3-030-75548-5 [contents] - Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
On the Existence of Optimal Transport Gradient for Learning Generative Models. CoRR abs/2102.05542 (2021) - Amitoz Azad, Julien Rabin, Abderrahim Elmoataz:
Variational models for signal processing with Graph Neural Networks. CoRR abs/2103.16337 (2021) - Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces. CoRR abs/2107.06018 (2021) - 2020
- Jorge Gutierrez, Julien Rabin, Bruno Galerne, Thomas Hurtut:
On Demand Solid Texture Synthesis Using Deep 3D Networks. Comput. Graph. Forum 39(1): 511-530 (2020) - Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Generating Private Data Surrogates for Vision Related Tasks. ICPR 2020: 263-269 - Jorge Gutierrez, Julien Rabin, Bruno Galerne, Thomas Hurtut:
On Demand Solid Texture Synthesis Using Deep 3D Networks. CoRR abs/2001.04528 (2020) - Loïc Simon, Julien Rabin, Ryan Webster:
Equivalence of several curves assessing the similarity between probability distributions. CoRR abs/2006.11809 (2020) - Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
Wasserstein Generative Models for Patch-based Texture Synthesis. CoRR abs/2007.03408 (2020) - 2019
- Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Detecting Overfitting of Deep Generative Networks via Latent Recovery. CVPR 2019: 11273-11282 - Loïc Simon, Ryan Webster, Julien Rabin:
Revisiting precision recall definition for generative modeling. ICML 2019: 5799-5808 - Arthur Leclaire, Julien Rabin:
A Fast Multi-layer Approximation to Semi-discrete Optimal Transport. SSVM 2019: 341-353 - Ryan Webster, Julien Rabin, Loïc Simon, Frédéric Jurie:
Detecting Overfitting of Deep Generative Networks via Latent Recovery. CoRR abs/1901.03396 (2019) - Loïc Simon, Ryan Webster, Julien Rabin:
Revisiting Precision and Recall Definition for Generative Model Evaluation. CoRR abs/1905.05441 (2019) - 2018
- Bruno Galerne, Arthur Leclaire, Julien Rabin:
A Texture Synthesis Model Based on Semi-Discrete Optimal Transport in Patch Space. SIAM J. Imaging Sci. 11(4): 2456-2493 (2018)
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