Zobrazeno 1 - 10 of 35 pro vyhledávání: '"Nicolas Bonneel"'
2
Dynamic scene novel view synthesis via deferred spatio-temporal consistency
Autor: Beatrix-Emőke Fülöp-Balogh, Eleanor Tursman, James Tompkin, Julie Digne, Nicolas Bonneel
Publikováno v: Computers & Graphics. 107:220-230
Structure from motion (SfM) enables us to reconstruct a scene via casual capture from cameras at different viewpoints, and novel view synthesis (NVS) allows us to render a captured scene from a new viewpoint. Both are hard with casual capture and dyn
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3164a33a780529e11fca7d6ffb7ed965
https://doi.org/10.1016/j.cag.2022.07.019
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3
MatBuilder
Autor: Loïs Paulin, Nicolas Bonneel, David Coeurjolly, Jean-Claude Iehl, Alexander Keller, Victor Ostromoukhov
Publikováno v: ACM Transactions on Graphics. 41:1-13
Many applications ranging from quasi-Monte Carlo integration over optimal control to neural networks benefit from high-dimensional, highly uniform samples. In the case of computer graphics, and more particularly in rendering, despite the need for uni
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c62133805df31f842a6e1ebe184fbcb3
https://doi.org/10.1145/3528223.3530063
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5
Perceptual quality of BRDF approximations: dataset and metrics
Autor: Nicolas Bonneel, Jean-Philippe Farrugia, Cyril Soler, Guillaume Lavoué
Publikováno v: Computer Graphics Forum
Conference proceedings of Eurographics 2021
Computer Graphics Forum, 2021, Eurographics 2021, 40 (2), pp.327-338. ⟨10.1111/cgf.142636⟩
Computer Graphics Forum, Wiley, 2021, Eurographics 2021, 40 (2)
International audience; Bidirectional Reflectance Distribution Functions (BRDFs) are pivotal to the perceived realism in image synthesis. While measured BRDF datasets are available, reflectance functions are most of the time approximated by analytica
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9459c3e97c3128518616323cdb9de2f7
https://doi.org/10.1111/cgf.142636
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6
Learning to Generate Wasserstein Barycenters
Autor: Julien Lacombe, Julie Digne, Nicolas Courty, Nicolas Bonneel
Publikováno v: Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision, 2022, 65, pp.354-370. ⟨10.1007/s10851-022-01121-y⟩
Journal of Mathematical Imaging and Vision, In press, ⟨10.1007/s10851-022-01121-y⟩
Optimal transport is a notoriously difficult problem to solve numerically, with current approaches often remaining intractable for very large scale applications such as those encountered in machine learning. Wasserstein barycenters -- the problem of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec3510b84fa6355f924c3809702542d9
https://hal.archives-ouvertes.fr/hal-03374452/document
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7
Code Replicability in Computer Graphics
Autor: Nicolas Mellado, Nicolas Bonneel, Julie Digne, David Coeurjolly
Publikováno v: ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, 2020, 39 (4), ⟨10.1145/3386569.3392413⟩
Being able to duplicate published research results is an important process of conducting research whether to build upon these findings or to compare with them. This process is called "replicability" when using the original authors' artifacts (e.g., c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bea05e63ea159c98b4ccab92184d75ae
https://hal.archives-ouvertes.fr/hal-02563203/file/paper.pdf
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8
Sliced Optimal Transport Sampling
Autor: David Coeurjolly, Mathieu Desbrun, Nicolas Bonneel, Lois Paulin, Victor Ostromoukhov, Antoine Webanck, Jean-Claude Iehl
Publikováno v: ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, 2020, 39, ⟨10.1145/3386569.3392395⟩
International audience; Error Whitenoise DartThrowing Sobol Ours White noise Dart throwing Sobol Ours Fig. 1. Sliced Optimal Transport Sampling. Global illumination of a scene (top left, San Miguel) requires integrating radiance over a high-dimension
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a6973c56423b3c2648dd46a1661dbf1
https://hal.archives-ouvertes.fr/hal-02565352/document
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9
Ground Metric Learning on Graphs
Autor: David Coeurjolly, Gabriel Peyré, Matthieu Heitz, Nicolas Bonneel, Marco Cuturi
Publikováno v: Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision, Springer Verlag, 2021, 63, pp.89-107
Journal of Mathematical Imaging and Vision, Springer Verlag, 2021, 63, pp.89-107. ⟨10.1007/s10851-020-00996-z⟩
Journal of Mathematical Imaging and Vision, 2021, 63 (1), pp.89-107. ⟨10.1007/s10851-020-00996-z⟩
J Math Imaging Vis
Optimal transport (OT) distances between probability distributions are parameterized by the ground metric they use between observations. Their relevance for real-life applications strongly hinges on whether that ground metric parameter is suitably ch
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df2d3a35eee2d474cef51ecf24847c3c
http://arxiv.org/abs/1911.03117
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10
Wasserstein barycentric coordinates
Autor: Marco Cuturi, Nicolas Bonneel, Gabriel Peyré
Publikováno v: ACM Transactions on Graphics
ACM Transactions on Graphics, 2016, 35 (4), pp.71:1--71:10. ⟨10.1145/2897824.2925918⟩
ACM Transactions on Graphics, Association for Computing Machinery, 2016, 35 (4), pp.71:1--71:10. ⟨10.1145/2897824.2925918⟩
International audience; This article defines a new way to perform intuitive and geometrically faithful regressions on histogram-valued data. It leverages the theory of optimal transport, and in particular the definition of Wasserstein barycenters, to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb7a009b8367046b1ce5ec8c5af89cb
https://doi.org/10.1145/2897824.2925918
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