Benoit Guillard

Benoit Guillard is a researcher specializing in 3D surface reconstruction and neural network applications. He earned his PhD in 2023 from EPFL’s Computer Vision Lab (CVLAB), focusing on representation learning for 3D geometry. His work bridges computer vision, machine learning, and computer graphics through innovative solutions for garment modeling, LiDAR simulation, and implicit surface processing.

Notable contributions include:

• MeshUDF (ECCV 2022): Differentiable meshing for unsigned distance fields
• DrapeNet (CVPR 2023): Self-supervised garment draping technique
• UCLID-Net (NeurIPS 2020): Single-view 3D reconstruction with hybrid architectures

His research has garnered recognition through CVPR 2022 Best Reviewer and NeurIPS 2022 Top Reviewer awards. He has served as a reviewer for top-tier conferences including CVPR, ICCV, and SIGGRAPH.