1 citations · 2 across the 3 of their papers we have counts for
4 papers
4DHumanOutfit: a multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements
Matthieu Armando, Laurence Boissieux, Edmond Boyer +11
This work presents 4DHumanOutfit, a new dataset of densely sampled spatio-temporal 4D human motion data of different actors, outfits and motions. The dataset is designed to contain…
Correspondence-free online human motion retargeting
Rim Rekik, Mathieu Marsot, Anne-Hélène Olivier +2
We present a data-driven framework for unsupervised human motion retargeting that animates a target subject with the motion of a source subject. Our method is correspondence-free,…
Representing motion as a sequence of latent primitives, a flexible approach for human motion modelling
Mathieu Marsot, Stefanie Wuhrer, Jean-Sebastien Franco +1
We propose a new representation of human body motion which encodes a full motion in a sequence of latent motion primitives. Recently, task generic motion priors have been introduce…
A structured latent space for human body motion generation
Mathieu Marsot, Stefanie Wuhrer, Jean-Sebastien Franco +1
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. On one hand…