Thibault Groueix

According to our database, Thibault Groueix authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MagicClay: Sculpting Meshes With Generative Neural Fields.

Amir Barda, Vladimir G. Kim, Noam Aigerman, Amit H. Bermano, Thibault Groueix

CoRR, 2024

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

Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni

CoRR, 2024

2023

PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling.

Fabien Baradel, Romain Brégier, Thibault Groueix, Philippe Weinzaepfel, Yannis Kalantidis, Grégory Rogez

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

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

Van Nguyen Nguyen, Thibault Groueix, Mathieu Salzmann, Vincent Lepetit

CoRR, 2023

Generative Escher Meshes.

Noam Aigerman, Thibault Groueix

CoRR, 2023

TextDeformer: Geometry Manipulation using Text Guidance.

William Gao, Noam Aigerman, Thibault Groueix, Vladimir G. Kim, Rana Hanocka

CoRR, 2023

NOPE: Novel Object Pose Estimation from a Single Image.

Van Nguyen Nguyen, Thibault Groueix, Yinlin Hu, Mathieu Salzmann, Vincent Lepetit

CoRR, 2023

PSDR-Room: Single Photo to Scene using Differentiable Rendering.

Kai Yan, Fujun Luan, Milos Hasan, Thibault Groueix, Valentin Deschaintre, Shuang Zhao

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild.

Dafei Qin, Jun Saito, Noam Aigerman, Thibault Groueix, Taku Komura

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

TextDeformer: Geometry Manipulation using Text Guidance.

William Gao, Noam Aigerman, Thibault Groueix, Vova Kim, Rana Hanocka

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

CNOS: A Strong Baseline for CAD-based Novel Object Segmentation.

Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Vincent Lepetit, Tomas Hodan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets.

Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Neural jacobian fields: learning intrinsic mappings of arbitrary meshes.

Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix

ACM Trans. Graph., 2022

Leveraging Monocular Disparity Estimation for Single-View Reconstruction.

Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech

CoRR, 2022

Learning Joint Surface Atlases.

Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry

CoRR, 2022

2021

Leveraging MoCap Data for Human Mesh Recovery.

Fabien Baradel, Thibault Groueix, Philippe Weinzaepfel, Romain Brégier, Yannis Kalantidis, Grégory Rogez

Proceedings of the International Conference on 3D Vision, 2021

2020

Reconstruction et correspondance de formes par apprentissage. (Learning 3D Generation and Matching).

Thibault Groueix

PhD thesis, 2020

Deep Transformation-Invariant Clustering.

Tom Monnier, Thibault Groueix, Mathieu Aubry

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Unsupervised cycle-consistent deformation for shape matching.

Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry

Comput. Graph. Forum, 2019

Learning elementary structures for 3D shape generation and matching.

Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Shape Correspondence with Isometric and Non-Isometric Deformations.

Roberto M. Dyke, C. Stride, Yu-Kun Lai, Paul L. Rosin, Mathieu Aubry, Amit Boyarski, Alexander M. Bronstein, Michael M. Bronstein, Daniel Cremers, Matthew Fisher, Thibault Groueix, Daoliang Guo, Vladimir G. Kim, Ron Kimmel, Zorah Lähner, Kun Li, Or Litany, Tal Remez, Emanuele Rodolà, Bryan C. Russell, Yusuf Sahillioglu, Ron Slossberg, Gary K. L. Tam, Matthias Vestner, Z. Wu, Jingyu Yang

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

2018

Shape correspondences from learnt template-based parametrization.

Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry

CoRR, 2018

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation.

Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry

CoRR, 2018

A Summary of the 4th International Workshop on Recovering 6D Object Pose.

Tomás Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

3D-CODED: 3D Correspondences by Deep Deformation.

Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry

Proceedings of the Computer Vision - ECCV 2018, 2018

A Papier-Mâché Approach to Learning 3D Surface Generation.

Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Interactive Monte-Carlo Ray-Tracing Upsampling.

Malik Boughida, Thibault Groueix, Tamy Boubekeur

Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016