Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset
Authors: name: Claire McLean; name: Makenzie Meendering; name: Tristan Swartz; name: Orri Gabbay; name: Alexandra Olsen; name: Rachel Jacobs; name: Nicholas Rosen; name: Philippe de Bree; name: Tony Garcia; name: Gadsden Merrill; name: Jake Sandakly; name: Julia Buffalini; name: Neham Jain; name: Steven Krenn; name: Moneish Kumar; name: Dejan Markovic; name: Evonne Ng; name: Fabian Prada; name: Andrew Saba; name: Siwei Zhang; name: Vasu Agrawal; name: Tim Godisart; name: Alexander Richard; name: Michael Zollhoefer
Published: 2025-10-17 23:06:36

Abstract: The Codec Avatars Lab at Meta introduces Embody 3D, a multimodal dataset of
500 individual hours of 3D motion data from 439 participants collected in a
multi-camera collection stage, amounting to over 54 million frames of tracked
3D motion. The dataset features a wide range of single-person motion data,
including prompted motions, hand gestures, and locomotion; as well as
multi-person behavioral and conversational data like discussions, conversations
in different emotional states, collaborative activities, and co-living
scenarios in an apartment-like space. We provide tracked human motion including
hand tracking and body shape, text annotations, and a separate audio track for
each participant.