Adaptive Content Generation
Adaptive Content Generation is a computational method in personalized learning systems that dynamically produces instructional materials tailored to individual learners' needs, preferences, and performance by leveraging real-time data and pedagogical models.
137
Publications
5.7K
Citations
390
Authors
151
Institutions
Publications per year
2017–2026
33
137
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content
Han Yang, Ruimao Zhang, Xiaobao Guo et al. · 2020 · 300 citations
Computing, Design, Computational Art +10
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151

Universidad Autónoma de Madrid
Madrid, Spain
4 h-index
11 publications
317 citations

IT University of Copenhagen
Copenhagen, Denmark
4 h-index
12 publications
1.1K citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
3 publications
88 citations
National Cheng Kung University
Tainan City, Taiwan
3 h-index
6 publications
160 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
179 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
8 publications
103 citations
Athabasca University
Athabasca, Canada
3 h-index
6 publications
115 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
8 publications
648 citations
1–8 of 151
Repository · 4 publications · 176 citations
4
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3 publications · 91 citations
3
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Repository · 3 publications · 85 citations
3
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3 publications · 276 citations
3
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Conference · 2 publications · 171 citations
2
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1–5