Thibault Groueix

Research Engineer

San Francisco

Thibault Groueix is a Research Engineer working on 3D deep learning. In this field, Thibault is interested in any topic, ranging from 3D deformations, human-pose estimation, symmetry detection, generative models, texturing, reconstruction and retrieval systems.

Thibault obtained his PhD from the Imagine team of Ecole Nationale des Ponts et Chaussees. His thesis, advised by Mathieu Aubry, received the second place PhD awards from SIF and AFIA.

A full list of his publications and more information about his research can be found at his personal website.


Generative Escher Meshes

Groueix, T., Aigerman, N. (Aug. 2, 2024)


NOPE: Novel Object Pose Estimation from a Single Image

Nguyen, V., Groueix, T., Ponimatkin, G., Hu, Y., Marlet, R., Salzmann, M., Lepetit, V. (Jun. 19, 2024)

CVPR 2024

GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence

Nguyen, V., Groueix, T., Salzmann, M., Lepetit, V. (Jun. 19, 2024)

CVPR 2024

TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations

Sun, B., Groueix, T., Song, C., Huang, Q., Aigerman, N. (Jun. 19, 2024)

CVPR Highlight

CVPR 2024

Learning Continuous 3D Words for Text-to-Image Generation

Cheng, T., Gadelha, M., Groueix, T., Fisher, M., Měch, R., Markham, A., Trigoni, N. (Jun. 19, 2024)

CVPR 2024

PSDR-Room: Single Photo to Scene using Differentiable Rendering

Yan, K., Luan, F., Hasan, M., Groueix, T., Deschaintre, V., Zhao, S. (Dec. 1, 2023)

Siggraph Asia 2023

Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes

Aigerman, N., Gupta, K., Kim, V., Chaudhuri, S., Saito, J., Groueix, T. (Aug. 8, 2022)