NDLI: 3D shape creation by style transfer

Content Provider	Springer Nature Link
Author	Han, Zhizhong Liu, Zhenbao Han, Junwei Bu, Shuhui
Copyright Year	2014
Abstract	In this paper, we propose a new style transfer method for automatic 3D shape creation based on new concepts of style and content of 3D shapes. Our unsupervised style transfer method could plausibly create novel shapes not only by recombining existent styles and contents in a set but also by combining new-coming styles or contents with the existent ones conveniently. This feature provides a better way to increase the diversity of created shapes. The process of shape creation can be summarized as two stages. First, style and content separation is performed to analyzed shapes in a set. Second, novel shapes are created by style transfer. In our setting, contents are first separated via clustering shapes using a new defined global shape distance, and then, style parts are clustered into different style classes. Specifically, style parts are extracted from each pair of intra-content shapes through comparing their multi-scale corresponding patches instead of corresponding parts. This strategy makes the process of extracting style parts become insensitive to slight geometric changes. The multi-scale corresponding patches are obtained via partitioning the two shapes in a consistent way by the proposed correspondence transfer. Meanwhile, to quantify the comparison results for locating style parts, a novel local shape difference function (LSDF) is introduced. Based on LSDF, extracting a style part from each shape is formulated as an optimal LSDF threshold selection problem. In the experiments, we test our method in several sets of man-made 3D shapes and obtain plausible created shapes based on the reasonably separated styles and contents.
Starting Page	1147
Ending Page	1161
Page Count	15
File Format	PDF
ISSN	01782789
Journal	The Visual Computer
Volume Number	31
Issue Number	9
e-ISSN	14322315
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-07-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Style and content separation Style transfer Shape creation Local shape difference function Computer Graphics Computer Science Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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