no code implementations • 12 Jun 2023 • Matthieu Armando, Laurence Boissieux, Edmond Boyer, Jean-Sebastien Franco, Martin Humenberger, Christophe Legras, Vincent Leroy, Mathieu Marsot, Julien Pansiot, Sergi Pujades, Rim Rekik, Gregory Rogez, Anilkumar Swamy, Stefanie Wuhrer
This work presents 4DHumanOutfit, a new dataset of densely sampled spatio-temporal 4D human motion data of different actors, outfits and motions.
no code implementations • 1 Feb 2023 • Rim Rekik, Mathieu Marsot, Anne-Hélène Olivier, Jean-Sébastien Franco, Stefanie Wuhrer
We present a data-driven framework for unsupervised human motion retargeting that animates a target subject with the motion of a source subject.
no code implementations • 27 Jun 2022 • Mathieu Marsot, Stefanie Wuhrer, Jean-Sebastien Franco, Anne Hélène Olivier
We propose a new representation of human body motion which encodes a full motion in a sequence of latent motion primitives.
no code implementations • 7 Jun 2021 • Mathieu Marsot, Stefanie Wuhrer, Jean-Sebastien Franco, Stephane Durocher
We propose a framework to learn a structured latent space to represent 4D human body motion, where each latent vector encodes a full motion of the whole 3D human shape.