580 citations · 768 across the 73 of their papers we have counts for
18 papers · 1 filter
MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos
Zhengqi Li, Richard Tucker, Forrester Cole +6
We present a system that allows for accurate, fast, and robust estimation of camera parameters and depth maps from casual monocular videos of dynamic scenes. Most conventional stru…
Reconstructing People, Places, and Cameras
Lea Müller, Hongsuk Choi, Anthony Zhang +3
We present "Humans and Structure from Motion" (HSfM), a method for jointly reconstructing multiple human meshes, scene point clouds, and camera parameters in a metric world coordin…
SOAR: Self-Occluded Avatar Recovery from a Single Video In the Wild
Zhuoyang Pan, Angjoo Kanazawa, Hang Gao
Self-occlusion is common when capturing people in the wild, where the performer do not follow predefined motion scripts. This challenges existing monocular human reconstruction sys…
Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos
Gengshan Yang, Andrea Bajcsy, Shunsuke Saito +1
We present Agent-to-Sim (ATS), a framework for learning interactive behavior models of 3D agents from casual longitudinal video collections. Different from prior works that rely on…
Estimating Body and Hand Motion in an Ego-sensed World
Brent Yi, Vickie Ye, Maya Zheng +6
We present EgoAllo, a system for human motion estimation from a head-mounted device. Using only egocentric SLAM poses and images, EgoAllo guides sampling from a conditional diffusi…
Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction
Justin Kerr, Chung Min Kim, Mingxuan Wu +4
Humans can learn to manipulate new objects by simply watching others; providing robots with the ability to learn from such demonstrations would enable a natural interface specifyin…