Thibault Groueix
Summary
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SeniorThibault Groueix is a research scientist with 11 years of experience specializing in large-scale AI models for 3D shape and scene generation, currently based in San Francisco and working at Meta. His track record includes multiple research roles at Adobe and NAVER LABS Europe, where he helped pioneer neural surface representations (AtlasNet) that enable single-image mesh synthesis and scalable 3D generation. He holds advanced training from École Polytechnique, ENS Paris-Saclay (Machine Learning) and a PhD in Computer Science from École des Ponts ParisTech, combining strong theoretical grounding with practical system-building. Thibault blends deep learning, computer graphics and real-time rendering expertise—skills first developed during internships on steerable CNNs and GPU-accelerated global illumination—and applies them to training and deploying large models. An active researcher with industry impact, he also maintains code repositories and reproducible research on Bitbucket, reflecting a preference for open, engineering-first research.
11 years of coding experience
Github Skills (129)
python10
deep-learning10
gpu10
3d10
rendering10
autoencoder10
numpy10
siggraph10
convex-hull10
neural-network10
computer-vision10
artificial-intelligence10
geometry-processing10
point-cloud10
pytorch10
Programming languages (9)
Github contributions (5)
ThibaultGROUEIX/3D-CODED
Dec 2018 - Nov 2021
Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`
Contributions:2 releases, 174 commits, 12 PRs in 2 years 11 months
3dpytorchdeep-learning3d-correspondencesatlasnet
jiangzhongshi/3D-CODED
Jun 2018 - Jul 2018
Pytorch Implementation for the project : 3D-CODED : 3D Correspondences by Deep Deformation"
Contributions:53 commits in 1 month
3dpytorch
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