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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

In e-commerce, a growing number of user-generated videos are used for product promotion. How to generate video descriptions that narrate the user-preferred product characteristics depicted in the video is vital for successful promoting.…

Computer Vision and Pattern Recognition · Computer Science 2020-08-18 Shengyu Zhang , Ziqi Tan , Jin Yu , Zhou Zhao , Kun Kuang , Jie Liu , Jingren Zhou , Hongxia Yang , Fei Wu

Creating open-ended algorithms, which generate their own never-ending stream of novel and appropriately challenging learning opportunities, could help to automate and accelerate progress in machine learning. A recent step in this direction…

Neural and Evolutionary Computing · Computer Science 2020-04-14 Rui Wang , Joel Lehman , Aditya Rawal , Jiale Zhi , Yulun Li , Jeff Clune , Kenneth O. Stanley

Text-to-image generation models are powerful but difficult to use. Users craft specific prompts to get better images, though the images can be repetitive. This paper proposes a Prompt Expansion framework that helps users generate…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Siddhartha Datta , Alexander Ku , Deepak Ramachandran , Peter Anderson

Text-to-image generation models have grown in popularity due to their ability to produce high-quality images from a text prompt. One use for this technology is to enable the creation of more accessible art creation software. In this paper,…

Human-Computer Interaction · Computer Science 2023-09-06 Atieh Taheri , Mohammad Izadi , Gururaj Shriram , Negar Rostamzadeh , Shaun Kane

Text-guided synthesis of images has made a giant leap towards becoming a mainstream phenomenon. With text-to-image generation systems, anybody can create digital images and artworks. This provokes the question of whether text-to-image…

Human-Computer Interaction · Computer Science 2022-11-01 Jonas Oppenlaender

This paper presents the design and initial assessment of a novel device that uses generative AI to facilitate creative ideation, inspiration, and reflective thought. Inspired by magnetic poetry, which was originally designed to help…

Human-Computer Interaction · Computer Science 2024-07-18 Jon McCormack , Elliott Wilson , Nina Rajcic , Maria Teresa Llano

Creativity is a valuable human skill that has long been augmented through both analog and digital tools. Recent progress in generative AI, such as image generation, provides a disruptive technological solution to supporting human creativity…

Human-Computer Interaction · Computer Science 2025-06-05 Daniel Hove Paludan , Julie Fredsgård , Kasper Patrick Bährentz , Ilhan Aslan , Niels van Berkel

Recent developments in large language models (LLM) and generative AI have unleashed the astonishing capabilities of text-to-image generation systems to synthesize high-quality images that are faithful to a given reference text, known as a…

Human-Computer Interaction · Computer Science 2023-03-17 Yutong Xie , Zhaoying Pan , Jinge Ma , Luo Jie , Qiaozhu Mei

Generative AI has enabled novice designers to quickly create professional-looking visual representations for product concepts. However, novices have limited domain knowledge that could constrain their ability to write prompts that…

Human-Computer Interaction · Computer Science 2026-03-30 Sirui Tao , Ivan Liang , Cindy Peng , Zhiqing Wang , Srishti Palani , Steven P. Dow

Customizing pre-trained text-to-image generation model has attracted massive research interest recently, due to its huge potential in real-world applications. Although existing methods are able to generate creative content for a novel…

Computer Vision and Pattern Recognition · Computer Science 2024-05-10 Yufan Zhou , Ruiyi Zhang , Jiuxiang Gu , Tong Sun

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

Generative AI models offer many possibilities for text creation and transformation. Current graphical user interfaces (GUIs) for prompting them lack support for iterative exploration, as they do not represent prompts as actionable interface…

Human-Computer Interaction · Computer Science 2025-03-28 Rifat Mehreen Amin , Oliver Hans Kühle , Daniel Buschek , Andreas Butz

Generative AI for the creation of images is becoming a staple in the toolkit of digital artists and visual designers. The interaction with these systems is mediated by \emph{prompting}, a process in which users write a short text to…

Computers and Society · Computer Science 2024-02-20 Maddalena Torricelli , Mauro Martino , Andrea Baronchelli , Luca Maria Aiello

Current image generation and editing methods primarily process textual prompts as direct inputs without reasoning about visual composition and explicit operations. We present Generation Chain-of-Thought (GoT), a novel paradigm that enables…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Rongyao Fang , Chengqi Duan , Kun Wang , Linjiang Huang , Hao Li , Shilin Yan , Hao Tian , Xingyu Zeng , Rui Zhao , Jifeng Dai , Xihui Liu , Hongsheng Li

While the history of machine learning so far largely encompasses a series of problems posed by researchers and algorithms that learn their solutions, an important question is whether the problems themselves can be generated by the algorithm…

Neural and Evolutionary Computing · Computer Science 2019-02-22 Rui Wang , Joel Lehman , Jeff Clune , Kenneth O. Stanley

Text-to-image generative models have demonstrated remarkable capabilities in generating high-quality images based on textual prompts. However, crafting prompts that accurately capture the user's creative intent remains challenging. It often…

Human-Computer Interaction · Computer Science 2023-04-20 Stephen Brade , Bryan Wang , Mauricio Sousa , Sageev Oore , Tovi Grossman

Text-to-image generation has seen an explosion of interest since 2021. Today, beautiful and intriguing digital images and artworks can be synthesized from textual inputs ("prompts") with deep generative models. Online communities around…

Multimedia · Computer Science 2023-11-27 Jonas Oppenlaender

The task of text-to-image generation has encountered significant challenges when applied to literary works, especially poetry. Poems are a distinct form of literature, with meanings that frequently transcend beyond the literal words. To…

Computer Vision and Pattern Recognition · Computer Science 2025-01-13 Sofia Jamil , Bollampalli Areen Reddy , Raghvendra Kumar , Sriparna Saha , K J Joseph , Koustava Goswami

Traditional visualisation designers often start with sketches before implementation. With generative AI, these sketches can be turned into AI-generated visualisations using specific prompts. However, guiding AI to create compelling visuals…

Human-Computer Interaction · Computer Science 2024-09-04 Aron E. Owen , Jonathan C. Roberts
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