This paper presents interfaces for exploring large collections of fonts for design tasks.
Existing interfaces typically list fonts in a long, alphabetically-sorted menu that can be …

Data-driven methods serve an increasingly important role in discovering geometric,
structural, and semantic relationships between shapes. In contrast to traditional approaches …

We introduce AutoHair, the first fully automatic method for 3D hair modeling from a single
portrait image, with no user interaction or parameter tuning. Our method efficiently generates …

Folk dances often reflect the socio-cultural influences prevailing in different periods and
nations; each dance produces a meaning, a story with the help of music, costumes and …

Procedural modeling systems allow users to create high quality content through parametric,
conditional or stochastic rule sets. While such approaches create an abstraction layer by …

Recent advances in modeling tools enable non‐expert users to synthesize novel shapes by
assembling parts extracted from model databases. A major challenge for these tools is to …

We present a framework for fast synthesizing indoor scenes, given a room geometry and a
list of objects with learnt priors. Unlike existing data-driven solutions, which often learn priors …

We present juxtaform, a novel approach to the interactive summarization of large shape
collections for conceptual shape design. We conduct a formative study to ascertain design …

We introduce focal points for characterizing, comparing, and organizing collections of
complex and heterogeneous data and apply the concepts and algorithms developed to …

Computing similarities or distances between 3D shapes is a crucial building block for
numerous tasks, including shape retrieval, exploration and classification. Current state-of …