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Creating meaningful visual narratives through human-AI collaboration requires understanding how text-image intertextuality emerges when textual intentions meet AI-generated visuals. We conducted a three-phase qualitative study with 15…

Human-Computer Interaction · Computer Science 2025-11-06 Mengyao Guo , Kexin Nie , Ze Gao , Black Sun , Xueyang Wang , Jinda Han , Xingting Wu

Nowadays, technological advances have influenced all human activities, creating new dynamics and ways of communication. In this context, some artists have incorporated these advances in their creative process, giving rise to unique…

Human-Computer Interaction · Computer Science 2021-08-13 Ricardo Andres Diaz Rincon

The emergence of generative AI (GenAI) models, including large language models and text-to-image models, has significantly advanced the synergy between humans and AI with not only their outstanding capability but more importantly, the…

Human-Computer Interaction · Computer Science 2025-03-05 Leixian Shen , Haotian Li , Yifang Wang , Xing Xie , Huamin Qu

Generative AI (GenAI) has spurred the expectation of being creative, due to its ability to generate content, yet so far, its creativity has somewhat disappointed, because it is trained using existing data following human intentions to…

Artificial Intelligence · Computer Science 2024-05-14 Ming-Hui Huang , Roland T. Rust

Design inspiration is crucial for establishing the direction of a design as well as evoking feelings and conveying meanings during the conceptual design process. Many practice designers use text-based searches on platforms like Pinterest to…

Human-Computer Interaction · Computer Science 2024-07-18 Ye Wang , Nicole B. Damen , Thomas Gale , Voho Seo , Hooman Shayani

This workshop paper presents a critical examination of the integration of Generative AI (Gen AI) into the academic writing process, focusing on the use of AI as a collaborative tool. It contrasts the performance and interaction of two AI…

Human-Computer Interaction · Computer Science 2024-04-26 Joseph Tu , Hilda Hadan , Derrick M. Wang , Sabrina A Sgandurra , Reza Hadi Mogavi , Lennart E. Nacke

Large language models (LLMs) are solidifying their position in the modern world as effective tools for the automatic generation of text. Their use is quickly becoming commonplace in fields such as education, healthcare, and scientific…

Computation and Language · Computer Science 2025-10-08 Luka Terčon , Kaja Dobrovoljc

Recently, diffusion-based deep generative models (e.g., Stable Diffusion) have shown impressive results in text-to-image synthesis. However, current text-to-image models often require multiple passes of prompt engineering by humans in order…

Computation and Language · Computer Science 2023-11-14 Tingfeng Cao , Chengyu Wang , Bingyan Liu , Ziheng Wu , Jinhui Zhu , Jun Huang

Content creators often aim to create personalized images using personal subjects that go beyond the capabilities of conventional text-to-image models. Additionally, they may want the resulting image to encompass a specific location, style,…

Computer Vision and Pattern Recognition · Computer Science 2024-01-12 Moab Arar , Andrey Voynov , Amir Hertz , Omri Avrahami , Shlomi Fruchter , Yael Pritch , Daniel Cohen-Or , Ariel Shamir

Artistic inspiration often emerges from language that is open to interpretation. This paper explores the use of AI-generated poetic lines as stimuli for creativity. Through analysis of two generative AI approaches--lines generated by Long…

Computation and Language · Computer Science 2025-06-17 Olga Vechtomova

Prompting approaches have been recently explored in text style transfer, where a textual prompt is used to query a pretrained language model to generate style-transferred texts word by word in an autoregressive manner. However, such a…

Computation and Language · Computer Science 2023-12-25 Guoqing Luo , Yu Tong Han , Lili Mou , Mauajama Firdaus

Large-scale pre-trained generative models are taking the world by storm, due to their abilities in generating creative content. Meanwhile, safeguards for these generative models are developed, to protect users' rights and safety, most of…

Cryptography and Security · Computer Science 2024-10-14 Guanlin Li , Kangjie Chen , Shudong Zhang , Jie Zhang , Tianwei Zhang

Generative artificial intelligence (AI) is a widely popular technology that will have a profound impact on society and individuals. Less than a decade ago, it was thought that creative work would be among the last to be automated - yet…

Human-Computer Interaction · Computer Science 2023-08-21 Jonas Oppenlaender , Johanna Silvennoinen , Ville Paananen , Aku Visuri

This paper explores the potential for utilizing generative AI models in group-focused co-creative frameworks to enhance problem solving and ideation in business innovation and co-creation contexts, and proposes a novel prompting technique…

Human-Computer Interaction · Computer Science 2023-05-09 Brandon Harwood

Text-to-Image generation models have revolutionized the artwork design process and enabled anyone to create high-quality images by entering text descriptions called prompts. Creating a high-quality prompt that consists of a subject and…

Cryptography and Security · Computer Science 2024-04-16 Xinyue Shen , Yiting Qu , Michael Backes , Yang Zhang

The field of text-to-image (T2I) generation has garnered significant attention both within the research community and among everyday users. Despite the advancements of T2I models, a common issue encountered by users is the need for…

Computation and Language · Computer Science 2023-10-31 Wanrong Zhu , Xinyi Wang , Yujie Lu , Tsu-Jui Fu , Xin Eric Wang , Miguel Eckstein , William Yang Wang

Prompt engineering is still the primary way for users of generative text-to-image models to manipulate generated images in a targeted way. Based on treating the model as a continuous function and by passing gradients between the image space…

Computer Vision and Pattern Recognition · Computer Science 2024-06-25 Niklas Deckers , Julia Peters , Martin Potthast

When designing a program, both novice programmers and seasoned developers alike often sketch out -- or, perhaps more famously, whiteboard -- their ideas. Yet despite the introduction of natively multimodal Generative AI models, work on…

Computers and Society · Computer Science 2026-02-12 David H. Smith , S. Moonwara A. Monisha , Annapurna Vadaparty , Leo Porter , Daniel Zingaro

Recent generative AI advances present new possibilities for supporting visual art creation, but how such promise might assist novice artists during early-stage processes requires investigation. How novices adopt or resist these tools can…

Human-Computer Interaction · Computer Science 2025-10-01 Cindy Peng , Alice Qian , Linghao Jin , Jieneng Chen , Evans Xu Han , Paul Pu Liang , Hong Shen , Haiyi Zhu , Jane Hsieh

Art created using generated Artificial Intelligence has taken the world by storm and generated excitement for many digital creators and technologists. However, the reception and reaction from artists have been mixed. Concerns about…

Human-Computer Interaction · Computer Science 2023-11-27 Safinah Ali , Cynthia Breazeal
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