Constraint-based Image Synthesis
Constraint-Based Image Synthesis is a procedural image generation method that employs explicitly defined constraints—such as geometric, semantic, or stylistic rules—to guide and restrict the image creation process, distinguishing it from other synthesis approaches by its reliance on user- or system-imposed conditions to ensure compliance with specified criteria.
9
Publications
677
Citations
28
Authors
18
Institutions
Publications per year
2017–2026
1
Parents
9
Patch based blind image super resolution
Qiang Wang, Heung‐Yeung Shum · 2005 · 171 citations
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Jinheng Xie, Yuexiang Li, Yawen Huang et al. · 2023 · 137 citations
Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov et al. · 2005 · 102 citations
Matthew Johnson, Gabriel Brostow, Jamie Shotton et al. · Computer Graphics Forum · 2006 · 59 citations
Arts, Design, Computer Vision +15
1–5 of 9
28
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Microsoft Research (United Kingdom), United Kingdom
1 publications · 102 citations
1
h-index
1–5 of 28
18
Hong Kong Baptist University
Hong Kong, Hong Kong
2 h-index
2 publications
141 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
3 publications
151 citations

Zhejiang University
Hangzhou, China
2 h-index
4 publications
282 citations
Wuhan University
Wuhan, China
1 h-index
1 publications
29 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
102 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
5 publications
295 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
1 h-index
2 publications
58 citations

Télécom Paris
Palaiseau, France
1 h-index
2 publications
58 citations
1–8 of 18
1 publications · 10 citations
1
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Repository · 1 publications · 131 citations
1
h-index
1 publications · 13 citations
1
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Repository · 1 publications · 25 citations
1
h-index
1 publications · 59 citations
1
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1–5