111 citations · 197 across the 6 of their papers we have counts for
6 papers
Quality assessment of 3D human animation: Subjective and objective evaluation
Rim Rekik, Stefanie Wuhrer, Ludovic Hoyet +2
Virtual human animations have a wide range of applications in virtual and augmented reality. While automatic generation methods of animated virtual humans have been developed, asse…
HuMoT: Human Motion Representation using Topology-Agnostic Transformers for Character Animation Retargeting
Lucas Mourot, Ludovic Hoyet, François Le Clerc +1
Motion retargeting is the long-standing problem in character animation that consists in transferring and adapting the motion of a source character to another target character. A ty…
UnderPressure: Deep Learning for Foot Contact Detection, Ground Reaction Force Estimation and Footskate Cleanup
Lucas Mourot, Ludovic Hoyet, François Le Clerc +1
Human motion synthesis and editing are essential to many applications like film post-production. However, they often introduce artefacts in motions, which can be detrimental to the…
A Survey on Deep Learning for Skeleton-Based Human Animation
L. Mourot, L. Hoyet, F. Le Clerc +2
Human character animation is often critical in entertainment content production, including video games, virtual reality or fiction films. To this end, deep neural networks drive mo…
A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation
Beatriz Cabrero Daniel, Ricardo Marques, Ludovic Hoyet +2
Simulating crowds requires controlling a very large number of trajectories and is usually performed using crowd motion algorithms for which appropriate parameter values need to be…
Virtual Co-Embodiment: Evaluation of the Sense of Agency while Sharing the Control of a Virtual Body among Two Individuals
Rebecca Fribourg, Nami Ogawa, Ludovic Hoyet +4
In this paper, we introduce a concept called ''virtual co-embodiment'', which enables a user to share their virtual avatar with another entity (e.g., another user, robot, or autono…