paper-conference

Humans constantly interact with daily objects to accomplish tasks. To understand such interactions, computers need to reconstruct these …

While methods that regress 3D human meshes from images have progressed rapidly, the estimated body shapes often do not capture the true …

Generating digital humans that move realistically has many applications and is widely studied, but existing methods focus on the major …

Humans are in constant contact with the world as they move through it and interact with it. This contact is a vital source of …

Current methods for learning realistic and animatable 3D clothed avatars need either posed 3D scans or 2D images with carefully …

Humans live within a 3D space and constantly interact with it to perform tasks. Such interactions involve physical contact between …

Recovering expressive humans from images is essential for understanding human behavior. Methods that estimate 3D bodies, faces, or …

Training computers to understand, model, and synthesize human grasping requires a rich dataset containing complex 3D object shapes, …

To understand how people look, interact, or perform tasks,we need to quickly and accurately capture their 3D body, face, and hands …

To understand and analyze human behavior, we need to capture humans moving in, and interacting with, the world. Most existing methods …