CVPR2025

FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video

Andrea Boscolo Camiletto, Jian Wang, Eduardo Alvarado, Rishabh Dabral, Thabo Beeler, Marc Habermann, Christian Theobalt

摘要

Figure 1. We introduce a large scale egocentric dataset (b) collected with a custom-made wearable capture rig (a). With this data we train FRAME, which takes as input a series of egocentric views and the VR pose tracking and predicts the skeletal motion of the user (c).