E-MoFlow unifies egomotion and optical flow estimation through implicit regularizations under a self-supervised paradigm.

BEDLAM2.0 is a significant expansion of the popular BEDLAM dataset that increases pose and body shape variation, adds shoes, and, most importantly, introduces a wide range of realistic cameras and camera motions.