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of 140
pro vyhledávání: '"Gosselin, Philippe Henri"'
We present a novel face reconstruction method capable of reconstructing detailed face geometry, spatially varying face reflectance from a single monocular image. We build our work upon the recent advances of DNN-based auto-encoders with differentiabl
Externí odkaz:
http://arxiv.org/abs/2203.07732
Autor:
Damodaran, Bharath Bhushan, Jolly, Emmanuel, Puy, Gilles, Gosselin, Philippe Henri, Thébault, Cédric, Ahn, Junghyun, Christensen, Tim, Ghezzo, Paul, Hellier, Pierre
Publikováno v:
European Conference on Visual Media Production (CVMP '21), 2021
We present FacialFilmroll, a solution for spatially and temporally consistent editing of faces in one or multiple shots. We build upon unwrap mosaic [Rav-Acha et al. 2008] by specializing it to faces. We leverage recent techniques to fit a 3D face mo
Externí odkaz:
http://arxiv.org/abs/2110.02124
Autor:
Dib, Abdallah, Thebault, Cedric, Ahn, Junghyun, Gosselin, Philippe-Henri, Theobalt, Christian, Chevallier, Louis
Robust face reconstruction from monocular image in general lighting conditions is challenging. Methods combining deep neural network encoders with differentiable rendering have opened up the path for very fast monocular reconstruction of geometry, li
Externí odkaz:
http://arxiv.org/abs/2103.15432
Autor:
Dib, Abdallah, Bharaj, Gaurav, Ahn, Junghyun, Thébault, Cédric, Gosselin, Philippe-Henri, Romeo, Marco, Chevallier, Louis
We present a differentiable ray-tracing based novel face reconstruction approach where scene attributes - 3D geometry, reflectance (diffuse, specular and roughness), pose, camera parameters, and scene illumination - are estimated from unconstrained m
Externí odkaz:
http://arxiv.org/abs/2101.05356
Autor:
Dib, Abdallah, Bharaj, Gaurav, Ahn, Junghyun, Thebault, Cedric, Gosselin, Philippe-Henri, Chevallier, Louis
We present a novel strategy to automatically reconstruct 3D faces from monocular images with explicitly disentangled facial geometry (pose, identity and expression), reflectance (diffuse and specular albedo), and self-shadows. The scene lights are mo
Externí odkaz:
http://arxiv.org/abs/1910.05200
Kernel methods are powerful and flexible approach to solve many problems in machine learning. Due to the pairwise evaluations in kernel methods, the complexity of kernel computation grows as the data size increases; thus the applicability of kernel m
Externí odkaz:
http://arxiv.org/abs/1711.09783
We consider a pipeline for image classification or search based on coding approaches like Bag of Words or Fisher vectors. In this context, the most common approach is to extract the image patches regularly in a dense manner on several scales. This pa
Externí odkaz:
http://arxiv.org/abs/1410.8151
Autor:
Dornier, Martin, Gosselin, Philippe-Henri, Raymond, Christian, Ricquebourg, Yann, Coüasnon, Bertrand
While the performance of face alignment models has been improving over the years, they still need large, annotated datasets during their training to perform well. In this paper, we propose a new architecture to perform face alignment with limited tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e9246eaa897266decf1b7b85cf0fec65
https://hal.science/hal-03778322
https://hal.science/hal-03778322
Publikováno v:
In Pattern Recognition April 2015 48(4):1174-1184
Publikováno v:
2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG).
We present a novel face reconstruction method capable of reconstructing detailed face geometry, spatially varying face reflectance from a single monocular image. We build our work upon the recent advances of DNN-based auto-encoders with differentiabl