| High-dimensional mixture models for unsupervised image denoising (HDMI) A Houdard, C Bouveyron, J Delon SIAM Journal on Imaging Sciences 11 (4), 2815-2846, 2018 | 66 | 2018 |
| Learning local regularization for variational image restoration J Prost, A Houdard, A Almansa, N Papadakis International Conference on Scale Space and Variational Methods in Computer …, 2021 | 28 | 2021 |
| A generative model for texture synthesis based on optimal transport between feature distributions A Houdard, A Leclaire, N Papadakis, J Rabin Journal of Mathematical Imaging and Vision 65 (1), 4-28, 2023 | 18 | 2023 |
| Wasserstein generative models for patch-based texture synthesis A Houdard, A Leclaire, N Papadakis, J Rabin International Conference on Scale Space and Variational Methods in Computer …, 2021 | 17 | 2021 |
| Wasserstein patch prior for image superresolution J Hertrich, A Houdard, C Redenbach IEEE Transactions on Computational Imaging 8, 693-704, 2022 | 16 | 2022 |
| Gaussian priors for image denoising J Delon, A Houdard Denoising of Photographic Images and Video: Fundamentals, Open Challenges …, 2018 | 11 | 2018 |
| Inverse problem regularization with hierarchical variational autoencoders J Prost, A Houdard, A Almansa, N Papadakis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs A Houdard, A Leclaire, N Papadakis, J Rabin Transactions on Machine Learning Research, 2023 | 4* | 2023 |
| Quelques avancées dans le débruitage d’images par patchs A Houdard | 2 | 2019 |
| Gaussian Priors for Image denoising, Bertalmío, Marcelo, Denoising of Photographic Images and Video Fundamentals, Open Challenges and New Trends J Delon, A Houdard Advances in Computer Vision and Pattern Recognition book series (ACVPR …, 2018 | 2 | 2018 |
| Clustering en haute dimension pour le débruitage d'image A Houdard, C Bouveyron, J Delon XXVIe colloque GRETSI, 2017 | 2 | 2017 |
| Diverse super-resolution with pretrained deep hiererarchical VAEs J Prost, A Houdard, N Papadakis, A Almansa arXiv preprint arXiv:2205.10347, 2022 | 1 | 2022 |
| Demystifying the asymptotic behavior of global denoising A Houdard, A Almansa, J Delon Journal of Mathematical Imaging and Vision 59, 456-480, 2017 | 1 | 2017 |
| Real‐Time Neural Materials using Block‐Compressed Features C Weinreich, L De Oliveira, A Houdard, G Nader Computer Graphics Forum 43 (2), e15013, 2024 | | 2024 |
| Efficient Posterior Sampling For Diverse Super-Resolution with Hierarchical VAE Prior J Prost, A Houdard, A Almansa, N Papadakis | | 2024 |
| On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs A Houdard, A Leclaire, N Papadakis, J Rabin Transactions on Machine Learning Research, 2023 | | 2023 |
| Apprentissage d'une fonction de régularisation locale pour la restauration d'images J Prost, A Houdard, A Almansa, N Papadakis Congrès des jeunes chercheurs en vision par ordinateur (ORASIS'21), 2021 | | 2021 |
| Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction A Houdard 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | | 2019 |
| Some advances in patch-based image denoising A Houdard Université Paris Saclay (COmUE), 2018 | | 2018 |
| High-Dimensional Mixture Model for Image Denoising A Houdard, C Bouveyron, J Delon HAL 2017, 2017 | | 2017 |
Nicolas PapadakisCNRS, Institut de Mathématiques de Bordeaux, Inria MONC在 math.u-bordeaux.fr 的电子邮件经过验证
