The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Impact of AI Text-to-Image Generator on Product Styling Design
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI has significantly impacted various creative domains, reshaping fields such as art and design.
“Advancements in AI technology have significantly impacted various creative domains [3, 59], reshaping fields such as art [19] and design [58].”
From Understanding Screenwriters' Practices, Attitudes, and Future Expectations in Human-AI Co-Creation (2025) · cites this paper as [58]
Citations
Cites
Diffusion Models Beat GANs on Image Synthesis
Dhariwal, P., & Nichol, A. (2021) · arXiv · doi:10.48550/arxiv.2105.05233 · Cited by 3,362
Hertzmann, A. (2018) · Arts · doi:10.3390/arts7020018 · Cited by 265
Flagged first, then by citations
Research works printed but not linked: 12
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- Elgammal, A., Liu, B., Elhoseiny, M., Mazzone, M.: CAN: Creative Adversarial Networks, generating “Art” by Learning About Styles and Deviating from Style Norms (2017). Arxiv. https://doi.org/10.48550/arXiv.1706.07068 · DOI
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- Chrysikou, E.G., Weisberg, R.W.: Following the wrong footsteps: fixation effects of pictorial examples in a design problem-solving task. J. Exp. Psychol. Learn. Mem. Cogn. 31(5), 1134–1148 (2005). https://doi.org/10.1037/0278-7393.31.5.1134 · DOI
- Cardoso, C., Badke-schaub, P.: The influence of different pictorial representations during idea generation. Des. Stud. 45(2), 130–146 (2011). https://doi.org/10.1002/j.2162-6057.2011.tb01092.x · DOI
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- Mazzone, M., Elgammal, A.: Art, creativity, and the potential of artificial intelligence. Arts 8(1), 26 (2019). https://doi.org/10.3390/arts8010026 · DOI
- Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139–144 (2020). https://doi.org/10.1145/3422622 · DOI · Paper page
- Ploennigs, J., Berger, M.: AI Art in Architecture (2022). ArXivhttps://arxiv.org/abs/2212.09399
- Radhakrishnan, M.: Is midjourney AI a new anti-hero of architectural imagery and creativity? Glob. Sci. J. 11(1), 94–104 (2023)
- Elgammal, A., Saleh, B.: Quantifying Creativity in Art Networks (2015). ArXivhttps://doi.org/10.48550/arXiv.1506.00711 · DOI
- Verstijnen, I., Leeuwen, C.V., Goldschmidt, G., Hamel, R., Hennessey, J.: Sketching and creative discovery. Des. Stud 19(4), 519–546 (1998). https://doi.org/10.1016/S0142-694X(98)00017-9 · DOI
Cited by
Sorted by citations
Yin, H., Zhang, Z., & Liu, Y. (2023) · Systems · doi:10.3390/systems11120566 · Cited by 131
Understanding Screenwriters' Practices, Attitudes, and Future Expectations in Human-AI Co-Creation
Tang, Y., Li, H., Lan, M., Ma, X., & Qu, H. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714120 · Cited by 18
“Advancements in AI technology have significantly impacted various creative domains [3, 59], reshaping fields such as art [19] and design [58].”
Metadata
- Authors
- Lee, Y.-H., & Chiu, C.-Y.
- Affiliations
- National Yunlin University of Science and Technology (TW)
- Corresponding author
- Lee, Yu-Hsu
- ORCID
- Lee, Yu-Hsu
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2023
- Pages
- 502-515
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4383650464
- Cited by
- 33
- References
- 2
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 8 · 2023: 2
- FWCI
- 9.66
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Keywords
- Midjourney, product design, design inspiration, design fixation, design workflow, industrial design students
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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