Denoising diffusion models hold great promise for generating diverse and realistic human
motions. However, existing motion diffusion models largely disregard the laws of physics in …

Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …

We introduce a method for generating realistic pedestrian trajectories and full-body
animations that can be controlled to meet user-defined goals. We draw on recent advances …

Real-time tracking of human body motion is crucial for interactive and immersive
experiences in AR/VR. However, very limited sensor data about the body is available from …

Estimating 3D human motion from an egocentric video sequence plays a critical role in
human behavior understanding and has various applications in VR/AR. However, naively …

We present an approach for 3D global human mesh recovery from monocular videos
recorded with dynamic cameras. Our approach is robust to severe and long-term occlusions …

Simulation has emerged as an indispensable tool for scaling and accelerating the
development of self-driving systems. A critical aspect of this is simulating realistic and …

Humans are in constant contact with the world as they move through it and interact with it.
This contact is a vital source of information for understanding 3D humans, 3D scenes, and …

Egocentric 3D human pose estimation with a single head-mounted fisheye camera has
recently attracted attention due to its numerous applications in virtual and augmented reality …

Predicting human motion is critical for assistive robots and AR/VR applications, where the
interaction with humans needs to be safe and comfortable. Meanwhile, an accurate …