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20242026
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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

HAMSt3R: Human-Aware Multi-view Stereo 3D Reconstruction

Sara Rojas, Matthieu Armando, Bernard Ghamen +3

Recovering the 3D geometry of a scene from a sparse set of uncalibrated images is a long-standing problem in computer vision. While recent learning-based approaches such as DUSt3R…

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.…

cs.CV2024

Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot

Fabien Baradel, Matthieu Armando, Salma Galaaoui +4

We present Multi-HMR, a strong sigle-shot model for multi-person 3D human mesh recovery from a single RGB image. Predictions encompass the whole body, i.e., including hands and fac…

cs.CV2024

Cross-view and Cross-pose Completion for 3D Human Understanding

Matthieu Armando, Salma Galaaoui, Fabien Baradel +5

Human perception and understanding is a major domain of computer vision which, like many other vision subdomains recently, stands to gain from the use of large models pre-trained o…