4DHumanOutfit: a multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements

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.

Virtual Try-on

Correspondence-free online human motion retargeting

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.

motion retargeting

Representing motion as a sequence of latent primitives, a flexible approach for human motion modelling

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.

A structured latent space for human body motion generation

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.

Human motion prediction motion prediction