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Generative Image AI Using Design Sketches as input: Opportunities and Challenges

Published: 19 June 2023 Publication History

Abstract

Generative image AI has sparked heated discussion among creative professionals. However, how it might be a tool for design practice is understudied, and it is not yet understood how designers may find image AI helpful across the stages of design practice. To address this, our preliminary study explores how designers use generative image AI accompanied by design sketches to inform early-stage 3D design. Further, we also examine the perceived limitations of text-to-image models. To do this, we recruited 11 Architecture graduate students with a median work experience of 2 years. Participants completed a design task using generative image AI packages and incorporated design sketches as inputs. The study findings provide insights into how image AI can or can not be a valuable resource for architectural design practitioners. Further, findings suggest possible directions for future image AI-assisted design tools and workflows.

References

[1]
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or. 2022. An image is worth one word: Personalizing text-to-image generation using textual inversion. arXiv preprint arXiv:2208.01618 (2022).
[2]
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler. 2022. GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. https://doi.org/10.48550/arXiv.2209.11163 arXiv:2209.11163 [cs].
[3]
Shunan Guo, Zhuochen Jin, Fuling Sun, Jingwen Li, Zhaorui Li, Yang Shi, and Nan Cao. 2021. Vinci: An Intelligent Graphic Design System for Generating Advertising Posters. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems(CHI ’21). Association for Computing Machinery, New York, NY, USA, 1–17. https://doi.org/10.1145/3411764.3445117
[4]
Melissa Heikkiläarchive. 2022. This artist is dominating ai-generated art. and he’s not happy about it.
[5]
Mina Lee, Percy Liang, and Qian Yang. 2022. CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems(CHI ’22). Association for Computing Machinery, New York, NY, USA, 1–19. https://doi.org/10.1145/3491102.3502030
[6]
Vivian Liu and Lydia B. Chilton. 2021. Design Guidelines for Prompt Engineering Text-to-Image Generative Models. https://doi.org/10.48550/arXiv.2109.06977 arXiv:2109.06977 [cs].
[7]
Vivian Liu, Han Qiao, and Lydia Chilton. 2022. Opal: Multimodal Image Generation for News Illustration. https://doi.org/10.48550/arXiv.2204.09007 arXiv:2204.09007 [cs].
[8]
Michael Muller, Lydia B Chilton, Anna Kantosalo, Q Vera Liao, Mary Lou Maher, Charles Patrick Martin, and Greg Walsh. 2023. GenAICHI 2023: Generative AI and HCI at CHI 2023. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. 1–7.
[9]
Han Qiao, Vivian Liu, and Lydia Chilton. 2022. Initial Images: Using Image Prompts to Improve Subject Representation in Multimodal AI Generated Art. In Creativity and Cognition. 15–28.
[10]
Sarah Shaffi. 2023. ‘It’s the opposite of art’: why illustrators are furious about AI. The Guardian (Jan. 2023). https://www.theguardian.com/artanddesign/2023/jan/23/its-the-opposite-of-art-why-illustrators-are-furious-about-ai
[11]
Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, and Andrew Lippman. 2023. Trash to Treasure: Using text-to-image models to inform the design of physical artefacts. https://doi.org/10.48550/arXiv.2302.00561 arXiv:2302.00561 [cs].
[12]
Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, and Andrew Lippman. 2023. Trash to Treasure: Using text-to-image models to inform the design of physical artefacts. https://doi.org/10.48550/arXiv.2302.00561 arXiv:2302.00561 [cs].
[13]
Justin D. Weisz, Michael Muller, Jessica He, and Stephanie Houde. 2023. Toward General Design Principles for Generative AI Applications. https://doi.org/10.48550/arXiv.2301.05578 arXiv:2301.05578 [cs].
[14]
Paulina Yurman and Anuradha Venugopal Reddy. 2022. Drawing Conversations Mediated by AI. In Creativity and Cognition(C&C ’22). Association for Computing Machinery, New York, NY, USA, 56–70. https://doi.org/10.1145/3527927.3531448
[15]
Lvmin Zhang and Maneesh Agrawala. 2023. Adding Conditional Control to Text-to-Image Diffusion Models. https://doi.org/10.48550/arXiv.2302.05543 arXiv:2302.05543 [cs].
[16]
Tianming Zhao, Chunyang Chen, Yuanning Liu, and Xiaodong Zhu. 2021. GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE). 748–760. https://doi.org/10.1109/ICSE43902.2021.00074 ISSN: 1558-1225.

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cover image ACM Conferences
C&C '23: Proceedings of the 15th Conference on Creativity and Cognition
June 2023
564 pages
ISBN:9798400701801
DOI:10.1145/3591196
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Publication History

Published: 19 June 2023

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Author Tags

  1. architectural design
  2. design sketch
  3. generative model
  4. image AI
  5. qualitative study

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C&C '23
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C&C '23: Creativity and Cognition
June 19 - 21, 2023
Virtual Event, USA

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Overall Acceptance Rate 108 of 371 submissions, 29%

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