EgoInteract: Synthetic Egocentric Videos Generation for Interaction Understanding and Anticipation

ArXi:2605.18214v1 Announce Type: new Collecting large-scale egocentric video datasets with dense spatial and temporal annotations is costly, slow, and often constrained by environmental biases, privacy constraints, and limited coverage of interaction patterns. While synthetic data has shown strong potential in several vision domains, its use for egocentric perception remains relatively underexplored, especially for tasks requiring temporally coherent human-object interactions. In this work, we.