Benoît Guillard

24 papers A* 6A 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
A Latent Implicit 3D Shape Model for Multiple Levels of Detail.
GCPR (2)
Benoît Guillard, Marc Habermann, Christian Theobalt, Pascal Fua
2024 J jnl
A Latent Implicit 3D Shape Model for Multiple Levels of Detail.
CoRR
Benoît Guillard, Marc Habermann, Christian Theobalt, Pascal Fua
2024 J jnl
DeepMesh: Differentiable Iso-Surface Extraction.
IEEE Trans. Pattern Anal. Mach. Intell.
Benoît Guillard, Edoardo Remelli, Artem Lukoianov, Pierre Yvernay, Stephan R. Richter, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua
2024 A* conf
Garment Recovery with Shape and Deformation Priors.
CVPR
Ren Li, Corentin Dumery, Benoît Guillard, Pascal Fua
2024 J jnl
Gradient Distance Function.
CoRR
Hieu Le, Federico Stella, Benoît Guillard, Pascal Fua
2023 A* conf
DrapeNet: Garment Generation and Self-Supervised Draping.
CVPR
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
2023 J jnl
Garment Recovery with Shape and Deformation Priors.
CoRR
Ren Li, Corentin Dumery, Benoît Guillard, Pascal Fua
2023 A* conf
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns.
NeurIPS
Ren Li, Benoît Guillard, Pascal Fua
2023 J jnl
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns.
CoRR
Ren Li, Benoît Guillard, Pascal Fua
2022 — conf
DIG: Draping Implicit Garment over the Human Body.
ACCV (1)
Ren Li, Benoît Guillard, Edoardo Remelli, Pascal Fua
2022 J jnl
DIG: Draping Implicit Garment over the Human Body.
CoRR
Ren Li, Benoît Guillard, Edoardo Remelli, Pascal Fua
2022 J jnl
DrapeNet: Generating Garments and Draping them with Self-Supervision.
CoRR
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
2022 A conf
Learning to Simulate Realistic LiDARs.
IROS
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
2022 J jnl
Learning to Simulate Realistic LiDARs.
CoRR
Benoît Guillard, Sai Vemprala, Jayesh K. Gupta, Ondrej Miksik, Vibhav Vineet, Pascal Fua, Ashish Kapoor
2022 — conf
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks.
ECCV (3)
Benoît Guillard, Federico Stella, Pascal Fua
2021 J jnl
DeepMesh: Differentiable Iso-Surface Extraction.
CoRR
Benoît Guillard, Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua
2021 J jnl
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks.
CoRR
Benoît Guillard, Federico Stella, Pascal Fua
2021 A* conf
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches.
ICCV
Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua
2021 J jnl
Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches.
CoRR
Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua
2020 J jnl
AnalogNet: Convolutional Neural Network Inference on Analog Focal Plane Sensor Processors.
CoRR
Matthew Z. Wong, Benoît Guillard, Riku Murai, Sajad Saeedi, Paul H. J. Kelly
2020 A* conf
MeshSDF: Differentiable Iso-Surface Extraction.
NeurIPS
Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Benoît Guillard, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua
2020 J jnl
MeshSDF: Differentiable Iso-Surface Extraction.
CoRR
Edoardo Remelli, Artem Lukoianov, Stephan R. Richter, Benoît Guillard, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua
2020 A* conf
UCLID-Net: Single View Reconstruction in Object Space.
NeurIPS
Benoît Guillard, Edoardo Remelli, Pascal Fua
2020 J jnl
UCLID-Net: Single View Reconstruction in Object Space.
CoRR
Benoît Guillard, Edoardo Remelli, Pascal Fua