Obtaining personalized 3D animatable avatars from a monocular camera has...
Capturing the interactions between humans and their environment in 3D is...
Humans interact with an object in many different ways by making contact ...
Modelling interactions between humans and objects in natural environment...
While most works in computer vision and learning have focused on perceiv...
Most learning methods for 3D data (point clouds, meshes) suffer signific...
We address the problem of fitting 3D human models to 3D scans of dressed...
While models of 3D clothing learned from real data exist, no method can
...
Implicit functions represented as deep learning approximations are power...
Parametric models of humans, faces, hands and animals have been widely u...
We present Multi-Garment Network (MGN), a method to predict body shape a...
We present a learning-based model to infer the personalized 3D shape of
...