Sketch-based Generation
Sketch-Based Generation is a generative methodology within interactive generative systems that enables the creation or synthesis of digital content through the interpretation and transformation of hand-drawn sketches as primary input.
279
Publications
15.9K
Citations
870
Authors
272
Institutions
Publications per year
2017–2026
160
279
Robert C. Zeleznik, Kenneth P. Herndon, John F. Hughes · 2006 · 653 citations
Ming‐Ming Cheng, Ping Tan, Ariel Shamir et al. · ACM Transactions on Graphics · 2009 · 605 citations
A Neural Representation of Sketch Drawings
David Ha, Douglas Eck · arXiv (Cornell University) · 2017 · 547 citations · Full text
Arts, Design, Computer Vision +8
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy, Jingwan Lu, Fang Chen et al. · 2017 · 533 citations
Robert C. Zeleznik, Kenneth P. Herndon, John F. Hughes · 1996 · 362 citations
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272
Adobe Systems (United States)
San Jose, United States
13 h-index
26 publications
2.8K citations

Zhejiang University
Hangzhou, China
13 h-index
31 publications
1K citations

Xidian University
Xi'an, China
13 h-index
41 publications
2K citations

City University of Hong Kong
Hong Kong, Hong Kong
12 h-index
20 publications
933 citations
Tsinghua University
Beijing, China
10 h-index
25 publications
2.8K citations
Microsoft Research Asia (China)
Beijing, China
10 h-index
22 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
22 publications
1.2K citations
University of Science and Technology of China
Hefei, China
10 h-index
24 publications
860 citations
1–8 of 272
TOG · 25 publications · 2.4K citations
23
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Repository · 24 publications · 1.3K citations
15
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8 publications · 377 citations
8
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7 publications · 238 citations
7
h-index
Conference · 5 publications · 153 citations
5
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