collaborators

5 papers

cs.CV2026

Multi-HMR 2: Multi-Person Camera-Centric Human Detection, Mesh Recovery and Tracking

Guénolé Fiche, Philippe Weinzaepfel, Romain Brégier +1

Most advances in human mesh recovery (HMR) have focused on pelvis-centered recovery, overlooking metric 3D localization and detection accuracy in the camera coordinate system - two…

cs.CV2026

T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences

Taeryung Lee, Fabien Baradel, Thomas Lucas +2

In this paper, we address the challenging problem of long-term 3D human motion generation. Specifically, we aim to generate a long sequence of smoothly connected actions from a str…

cs.CV2026

Anny-Fit: All-Age Human Mesh Recovery

Laura Bravo-Sánchez, Matthieu Armando, Romain Brégier +3

Recovering 3D human pose and shape from a single image remains a cornerstone of human-centric vision, yet most methods assume adult subjects and optimize each person independently.…

cs.CV2025

Human Mesh Modeling for Anny Body

Romain Brégier, Guénolé Fiche, Laura Bravo-Sánchez +5

Parametric body models provide the structural basis for many human-centric tasks, yet existing models often rely on costly 3D scans and learned shape spaces that are proprietary an…

cs.CV2025

CondiMen: Conditional Multi-Person Mesh Recovery

Brégier Romain, Baradel Fabien, Lucas Thomas +4

Multi-person human mesh recovery (HMR) consists in detecting all individuals in a given input image, and predicting the body shape, pose, and 3D location for each detected person.…