5 papers · 1 filter
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…
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…
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…
TEACH: Temporal Action Composition for 3D Humans
Nikos Athanasiou, Mathis Petrovich, Michael J. Black +1
Given a series of natural language descriptions, our task is to generate 3D human motions that correspond semantically to the text, and follow the temporal order of the instruction…
Action-Conditioned 3D Human Motion Synthesis with Transformer VAE
Mathis Petrovich, Michael J. Black, Gül Varol
We tackle the problem of action-conditioned generation of realistic and diverse human motion sequences. In contrast to methods that complete, or extend, motion sequences, this task…