We introduce a deep generative network for 3D shape detailization, akin to stylization with
the style being geometric details. We address the challenge of creating large varieties of …

We present a fully automatic method for design-preserving transfer of garments between
characters with different body shapes. For real life garments, such transfer is performed …

Decades of digital image processing research has culminated in a wealth of complex filters
and effects. These filters are not only important as pre-and post-processes to other …

We introduce SCORES, a recursive neural network for shape composition. Our network
takes as input sets of parts from two or more source 3D shapes and a rough initial placement …

The problem of the restoration of broken artifacts, where large parts could be missing, is of
high importance in archaeology. The typical manual restoration can become a tedious and …

We introduce an algorithm for generating novel 3D models via topology-varying shape
blending. Given a source and a target shape, our method blends them topologically and …

We present implicit displacement fields, a novel representation for detailed 3D geometry.
Inspired by a classic surface deformation technique, displacement map**, our method …

This work presents a novel and intuitive assembly based 3D modeling interface to support
conceptual design exploration activities. In the presented modeling interface, unlabeled …

This paper introduces a data-driven shape completion approach that focuses on completing
geometric details of missing regions of 3D shapes. We observe that existing generative …