Physics simulation offers the possibility of truly responsive and realistic animation. Despite
wide adoption of physics simulation for the animation of passive phenomena, such as fluids …

This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …

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

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

We approach the problem of high-DOF reaching-and-grasping via learning joint planning of
grasp and motion with deep reinforcement learning. To resolve the sample efficiency issue …

Robotic grasping of house-hold objects has made remarkable progress in recent years. Yet,
human grasps are still difficult to synthesize realistically. There are several key reasons:(1) …

The human hand is a complex biological system able to perform numerous tasks with
impressive accuracy and dexterity. Gestures furthermore play an important role in our daily …

This paper presents a novel object-centric contact representation ContactGen for hand-
object interaction. The ContactGen comprises 3 components: a contact map indicates the …

Natural hand manipulations exhibit complex finger maneuvers adaptive to object shapes
and the tasks at hand. Learning dexterous manipulation from data in a brute force way …

The synthesis of human grasping has numerous applications including AR/VR, video games
and robotics. While methods have been proposed to generate realistic hand–object …