8 citations · 8 across the 2 of their papers we have counts for
6 papers
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…
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…
MEGA: Masked Generative Autoencoder for Human Mesh Recovery
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda +1
Human Mesh Recovery (HMR) from a single RGB image is a highly ambiguous problem, as an infinite set of 3D interpretations can explain the 2D observation equally well. Nevertheless,…
VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda +2
Previous works on Human Pose and Shape Estimation (HPSE) from RGB images can be broadly categorized into two main groups: parametric and non-parametric approaches. Parametric techn…
SwimXYZ: A large-scale dataset of synthetic swimming motions and videos
Fiche Guénolé, Sevestre Vincent, Gonzalez-Barral Camila +2
Technologies play an increasingly important role in sports and become a real competitive advantage for the athletes who benefit from it. Among them, the use of motion capture is de…
Motion-DVAE: Unsupervised learning for fast human motion denoising
Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda +1
Pose and motion priors are crucial for recovering realistic and accurate human motion from noisy observations. Substantial progress has been made on pose and shape estimation from…