Inverse kinematics (IK) is the use of kinematic equations to determine the joint parameters of
a manipulator so that the end effector moves to a desired position; IK can be applied in many …

We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

In this work we present a novel, robust transition generation technique that can serve as a
new tool for 3D animators, based on adversarial recurrent neural networks. The system …

We propose a CNN-based approach for 3D human body pose estimation from single RGB
images that addresses the issue of limited generalizability of models trained solely on the …

We present a real-time approach for multi-person 3D motion capture at over 30 fps using a
single RGB camera. It operates successfully in generic scenes which may contain …

We demonstrate a novel deep neural network capable of reconstructing human full body
pose in real-time from 6 Inertial Measurement Units (IMUs) worn on the user's body. In doing …

Quadruped motion includes a wide variation of gaits such as walk, pace, trot and canter, and
actions such as jum**, sitting, turning and idling. Applying existing data-driven character …

We address the problem of making human motion capture in the wild more practical by
using a small set of inertial sensors attached to the body. Since the problem is heavily under …

We present RF-Capture, a system that captures the human figure--ie, a coarse skeleton--
through a wall. RF-Capture tracks the 3D positions of a person's limbs and body parts even …

Data-driven modelling and synthesis of motion is an active research area with applications
that include animation, games, and social robotics. This paper introduces a new class of …