4 papers
InterPose: Learning to Generate Human-Object Interactions from Large-Scale Web Videos
Yangsong Zhang, Abdul Ahad Butt, Gül Varol +1
Human motion generation has shown great advances thanks to the recent diffusion models trained on large-scale motion capture data. Most of existing works, however, currently target…
Dense Motion Captioning
Shiyao Xu, Benedetta Liberatori, Gül Varol +1
Recent advances in 3D human motion and language integration have primarily focused on text-to-motion generation, leaving the task of motion understanding relatively unexplored. We…
Text-Driven 3D Hand Motion Generation from Sign Language Data
Léore Bensabath, Mathis Petrovich, Gül Varol
Our goal is to train a generative model of 3D hand motions, conditioned on natural language descriptions specifying motion characteristics such as handshapes, locations, finger/han…
MotionFix: Text-Driven 3D Human Motion Editing
Nikos Athanasiou, Alpár Cseke, Markos Diomataris +2
The focus of this paper is on 3D motion editing. Given a 3D human motion and a textual description of the desired modification, our goal is to generate an edited motion as describe…