Generative Art
Generative art is an artistic practice in which autonomous systems employing algorithms or defined rules generate aesthetic outcomes with minimal direct human intervention in the execution of the artwork.
676
Publications
41.7K
Citations
1.9K
Authors
533
Institutions
Publications per year
2017–2026
421
676
Semantic Image Synthesis With Spatially-Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang et al. · 2019 · 2.8K citations
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani et al. · 2023 · 1.9K citations
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn, Tetiana Martyniuk, Junru Wu et al. · 2019 · 1.1K citations
Imagic: Text-Based Real Image Editing with Diffusion Models
Bahjat Kawar, Shiran Zada, Oran Lang et al. · 2023 · 692 citations
Art and the science of generative AI
Ziv Epstein, Aaron Hertzmann, Memo Akten et al. · Science · 2023 · 641 citations
1–5 of 676
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533
Adobe Systems (United States)
San Jose, United States
17 h-index
55 publications
5.6K citations

Zhejiang University
Hangzhou, China
17 h-index
58 publications
2.9K citations
Nanyang Technological University
Singapore, Singapore
15 h-index
33 publications
2.2K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
32 publications
2.3K citations
Google (United States)
Mountain View, United States
12 h-index
56 publications
21.7K citations

Monash University
Melbourne, Australia
11 h-index
21 publications
702 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
10 h-index
23 publications
1.4K citations

Tel Aviv University
Tel Aviv, Israel
10 h-index
35 publications
3.3K citations
1–8 of 533
Repository · 84 publications · 3.9K citations
29
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TOG · 30 publications · 2.5K citations
24
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Conference · 17 publications · 1.5K citations
16
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18 publications · 503 citations
15
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CRO · 12 publications · 938 citations
12
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