Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

We propose a method to reconstruct global human trajectories from videos in the wild. Our
optimization method decouples the camera and human motion, which allows us to place …

Estimating 3D humans from images often produces implausible bodies that lean, float, or
penetrate the floor. Such methods ignore the fact that bodies are typically supported by the …

We present PyMAF-X, a regression-based approach to recovering a parametric full-body
model from a single image. This task is very challenging since minor parametric deviation …

We consider the problem of recovering a single person's 3D human mesh from in-the-wild
crowded scenes. While much progress has been in 3D human mesh estimation, existing …

Understanding how humans use physical contact to interact with the world is key to enabling
human-centric artificial intelligence. While inferring 3D contact is crucial for modeling …

Social interaction is a fundamental aspect of human behavior and communication. The way
individuals position themselves in relation to others also known as proxemics conveys social …

We introduce DiffPhy, a differentiable physics-based model for articulated 3d human motion
reconstruction from video. Applications of physics-based reasoning in human motion …

We present MultiPly a novel framework to reconstruct multiple people in 3D from monocular
in-the-wild videos. Reconstructing multiple individuals moving and interacting naturally from …

In this study, we focus on the problem of 3D human mesh recovery from a single image
under obscured conditions. Most state-of-the-art methods aim to improve 2D alignment …