User-guided Generation
User-Guided Generation is a generative process within interactive systems in which the user actively influences the output formation through iterative inputs, feedback, or constraints, distinguishing it from autonomous or fully automated generation methods by embedding human intent directly into the generative workflow.
87
Publications
4.7K
Citations
282
Authors
98
Institutions
Publications per year
2017–2026
66
87
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan, Michal Geyer, Shai Bagon et al. · 2023 · 522 citations
Thomas Reps, Tim Teitelbaum · ACM SIGPLAN Notices · 1984 · 371 citations
TEXTure: Text-Guided Texturing of 3D Shapes
Elad Richardson, Gal Metzer, Yuval Alaluf et al. · 2023 · 177 citations
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98

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
6 publications
219 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
15 publications
387 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
6 publications
180 citations
University of Michigan
Ann Arbor, United States
3 h-index
5 publications
213 citations

Cornell University
Ithaca, United States
3 h-index
6 publications
1.1K citations

Beihang University
Beijing, China
3 h-index
7 publications
416 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
2 publications
133 citations

Worcester Polytechnic Institute
Worcester, United States
2 h-index
2 publications
33 citations
1–8 of 98
Repository · 14 publications · 436 citations
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Conference · 3 publications · 152 citations
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TVCG · 2 publications · 90 citations
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JASIS · 2 publications · 88 citations
2
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TG · 1 publications · 17 citations
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