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This paper surveys the state-of-the-art of research in patch-based synthesis. Patch-based methods synthesize output images by copying small regions from exemplar imagery. This line of research originated from an area called “texture synthesis”, which focused on creating regular or semi-regular textures from small exemplars. However, more recently, much research has focused on synthesis of larger and more diverse imagery, such as photos, photo collections, videos, and light fields. Additionally, recent research has focused on customizing the synthesis process for particular problem domains, such as synthesizing artistic or decorative brushes, synthesis of rich materials, and synthesis for 3D fabrication. This report investigates recent papers that follow these themes, with a particular emphasis on papers published since 2009, when the last survey in this area was published. This survey can serve as a tutorial for readers who are not yet familiar with these topics, as well as provide comparisons between these papers, and highlight some open problems in this area.


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A survey of the state-of-the-art in patch-based synthesis

Show Author's information Connelly Barnes1( )Fang-Lue Zhang2
University of Virginia, Charlottesville, VA 22904, USA
TNList, Tsinghua University, Beijing 100084, China.

Abstract

This paper surveys the state-of-the-art of research in patch-based synthesis. Patch-based methods synthesize output images by copying small regions from exemplar imagery. This line of research originated from an area called “texture synthesis”, which focused on creating regular or semi-regular textures from small exemplars. However, more recently, much research has focused on synthesis of larger and more diverse imagery, such as photos, photo collections, videos, and light fields. Additionally, recent research has focused on customizing the synthesis process for particular problem domains, such as synthesizing artistic or decorative brushes, synthesis of rich materials, and synthesis for 3D fabrication. This report investigates recent papers that follow these themes, with a particular emphasis on papers published since 2009, when the last survey in this area was published. This survey can serve as a tutorial for readers who are not yet familiar with these topics, as well as provide comparisons between these papers, and highlight some open problems in this area.

Keywords:

texture, patch, image synthesis, texture synthesis
Revised: 22 August 2016 Accepted: 23 September 2016 Published: 17 March 2017 Issue date: March 2017
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Acknowledgements
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Publication history

Revised: 22 August 2016
Accepted: 23 September 2016
Published: 17 March 2017
Issue date: March 2017

Copyright

© The Author(s) 2016

Acknowledgements

Thanks to Professor Shi-Min Hu at Tsinghua University for his support in this project. Thanks to the National Science Foundation for support under Grants CCF 0811493 and CCF 0747220. Thanks for support from the General Financial Grant from the China Postdoctoral Science Foundation (No. 2015M580100).

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