We present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary
clothing styles. Our reconstructed avatars are animation-ready and highly realistic, in both …

In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel
end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans …

Abstract We present Neural Generalized Implicit Functions (Neural-GIF), to animate people
in clothing as a function of the body pose. Given a sequence of scans of a subject in various …

We present DenseRaC, a novel end-to-end framework for jointly estimating 3D human pose
and body shape from a monocular RGB image. Our two-step framework takes the body pixel …

We present a novel method to generate accurate and realistic clothing deformation from real
data capture. Previous methods for realistic cloth modeling mainly rely on intensive …

High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of
applications including human digitization, virtual try-on, etc. Recent advances in learning …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

This paper presents keyframe-based geometry video (KGV), a novel framework for
compressing 3-D human motion data by using geometry videos. Given a motion data …

This paper presents an underwater active stereo system that realizes 3D capture of dynamic
objects in water such as swimming fish. The key idea on realizing a practical underwater 3D …

This paper presents a novel multimodal system designed for multi-party human-human
interaction analysis. The design of human-machine interfaces for multiple users is …