We introduce a novel deep learning framework for data-driven motion retargeting between
skeletons, which may have different structure, yet corresponding to homeomorphic graphs …

State-of-the-art fully intrinsic network for non-rigid shape matching are unable to
disambiguate between shape inner symmetries. Meanwhile, recent advances in the …

We present the first method that automatically transfers poses between stylized 3D
characters without skeletal rigging. In contrast to previous attempts to learn pose …

We propose an example-based approach for simulating complex elastic material behavior.
Supplied with a few poses that characterize a given object, our system starts by constructing …

Deep functional maps have recently emerged as a successful paradigm for non-rigid 3D
shape correspondence tasks. An essential step in this pipeline consists in learning feature …

Transferring deformation from a source shape to a target shape is a very useful technique in
computer graphics. State-of-the-art deformation transfer methods require either point-wise …

This paper describes a method for animating the appearance of clothing, such as pants or a
shirt, that fits closely to a figure's body. Compared to flowing cloth, such as loose dresses or …

The goal of 3D pose transfer is to transfer the pose from the source mesh to the target mesh
while preserving the identity information (eg, face, body shape) of the target mesh. Deep …

Pose transfer has been studied for decades, in which the pose of a source mesh is applied
to a target mesh. Particularly in this paper, we are interested in transferring the pose of …

Deformation transfer is an important research problem in geometry processing and
computer animation. A fundamental problem for existing deformation transfer methods is to …