We propose SMPLitex, a method for estimating and manipulating the comple...
We propose a method to estimate the mechanical parameters of fabrics usi...
Clothing plays a fundamental role in digital humans. Current approaches ...
Reconstructing two-hand interactions from a single image is a challengin...
We present a self-supervised method to learn dynamic 3D deformations of
...
Intrinsic imaging or intrinsic image decomposition has traditionally bee...
Tracking and reconstructing the 3D pose and geometry of two hands in
int...
We present a novel method for real-time pose and shape reconstruction of...
We propose a new generative model for 3D garment deformations that enabl...
We present a learning-based approach for virtual try-on applications bas...
We present SoftSMPL, a learning-based method to model realistic soft-tis...
This paper presents a learning-based clothing animation method for highl...
The estimation of the optical properties of a material from RGB-images i...
We address the highly challenging problem of real-time 3D hand tracking ...
We present the first real-time method to capture the full global 3D skel...
We present an approach for real-time, robust and accurate hand pose
esti...
Marker-based and marker-less optical skeletal motion-capture methods use...
We propose a CNN-based approach for 3D human body pose estimation from s...
We propose a new model-based method to accurately reconstruct human
perf...
Real-time simultaneous tracking of hands manipulating and interacting wi...
Marker-based and marker-less optical skeletal motion-capture methods use...
Markerless motion capture algorithms require a 3D body with properly
per...