Style-Controlled Generation is a natural language generation method that enables the systematic manipulation of textual output according to predefined stylistic attributes while preserving semantic content and linguistic correctness.
46
Publications
3.3K
Citations
168
Authors
61
Institutions
Publications per year
2017–2026
39
Parents
Publications
46
StyleNet: Generating Attractive Visual Captions with Styles
Chuang Gan, Zhe Gan, Xiaodong He et al. · 2017 · 304 citations
Deep Learning for Text Style Transfer: A Survey
Di Jin, Zhijing Jin, Zhiting Hu et al. · Computational Linguistics · 2021 · 162 citations · Full text
1–5 of 46
Authors
168
- ZJ
3
h-index
- MW
3
h-index
- OV
3
h-index
- DJ
3
h-index
- DWDi Wang
King Abdullah University of Science and Technology, Saudi Arabia
2 publications · 78 citations
2
h-index
1–5 of 168
Institutions
61
Adobe Systems (United States)
San Jose, United States
4 h-index
6 publications
570 citations
Tsinghua University
Beijing, China
3 h-index
7 publications
473 citations
University of California San Diego
San Diego, United States
3 h-index
4 publications
257 citations
University of Michigan
Ann Arbor, United States
3 h-index
4 publications
209 citations
Microsoft (United States)
Redmond, United States
2 h-index
6 publications
1.1K citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
191 citations
Peking University
Beijing, China
2 h-index
7 publications
210 citations
Amazon (United States)
Seattle, United States
2 h-index
2 publications
218 citations
1–8 of 61
Venues
- arXiv (Cornell University)
Repository · 9 publications · 1K citations
9
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 3 publications · 77 citations
3
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- Computational Linguistics
2 publications · 332 citations
2
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- Language
1 publications · 39 citations
1
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- ACM Transactions on Multimedia Computing Communications and Applications
TOMCCAP · 1 publications · 25 citations
1
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