Style-Content Separation by Anisotropic Part Scales
Kai Xu1,2, Honghua Li1,2, Hao Zhang1, Daniel Cohen-Or3, Yueshan Xiong2, Zhiquan Cheng2
1Simon Fraser University 2National University of Defense Technology 3Tel-Aviv University
ACM Transactions on Graphics (SIGGRAPH Asia 2010), 29(5)
|
|
|
We perform co-analysis of a set of man-made 3D objects to allow the
creation of novel instances derived from the set. We analyze the objects
at the part level and treat the anisotropic part scales as a shape
style. The co-analysis then allows style transfer to synthesize new
objects. The key to co-analysis is part correspondence, where a major
challenge is the handling of large style variations and diverse
geometric content in the shape set. We propose style-content separation
as a means to address this challenge. Specifically, we define a
correspondence-free style signature for style clustering. We show that
confining analysis to within a style cluster facilitates tasks such as
co-segmentation, content classification, and deformation-driven part
correspondence. With part correspondence between each pair of shapes in
the set, style transfer can be easily performed. We demonstrate our
analysis and synthesis results on several sets of man-made objects with
style and content variations.
|
|
|
|
Figure A: A gallery of tables (row: style; column: content) for six data sets: hummers, airplanes, tables, kitchen utensils, goblets, and humanoid bodies. Newly synthesized models (in gold) fill the tables.
Figure B: Results of co-segmentation and D2F-based inter-style part correspondence on three subsets (a-c) of the chair and stool set. In each subset, models are grouped by style clusters.
|
|
|
|
@article {xu_siga10,
title = {Style-Content Separation by Anisotropic Part Scales},
author = {Kai Xu and Honghua Li and Hao Zhang and Daniel Cohen-Or and Yueshan Xiong and Zhiquan Cheng}
journal = {ACM Transactions on Graphics, (Proc. of SIGGRAPH Asia 2010)},
volume = {29},
number = {5},
pages = {to appear},
year = {2010}
} |
[ Top | Home ]
|
|
