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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

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

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

This paper examines the art practices, artwork, and motivations of prolific users of the latest generation of text-to-image models. Through interviews, observations, and a user survey, we present a sampling of the artistic styles and…

Human-Computer Interaction · Computer Science 2023-03-23 Minsuk Chang , Stefania Druga , Alex Fiannaca , Pedro Vergani , Chinmay Kulkarni , Carrie Cai , Michael Terry

Image generation using generative AI is rapidly becoming a major new source of visual media, with billions of AI generated images created using diffusion models such as Stable Diffusion and Midjourney over the last few years. In this paper…

Human-Computer Interaction · Computer Science 2024-01-29 Jon McCormack , Maria Teresa Llano , Stephen James Krol , Nina Rajcic

Text-to-image generative models are a new and powerful way to generate visual artwork. However, the open-ended nature of text as interaction is double-edged; while users can input anything and have access to an infinite range of…

Human-Computer Interaction · Computer Science 2023-09-29 Vivian Liu , Lydia B. Chilton

Studies of Generative AI (GenAI)-assisted creative workflows have focused on individuals overcoming challenges of prompting to produce what they envisioned. When designers work in teams, how do collaboration and prompting influence each…

Human-Computer Interaction · Computer Science 2025-09-29 Yuanning Han , Ziyi Qiu , Jiale Cheng , RAY LC

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

We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This paper investigates prompt engineering as a novel creative skill for creating AI art with…

Human-Computer Interaction · Computer Science 2024-07-08 Jonas Oppenlaender , Rhema Linder , Johanna Silvennoinen

Generative AI models have shown impressive ability to produce images with text prompts, which could benefit creativity in visual art creation and self-expression. However, it is unclear how precisely the generated images express contexts…

Human-Computer Interaction · Computer Science 2023-03-21 Yunlong Wang , Shuyuan Shen , Brian Y. Lim

Crafting a rich and unique environment is crucial for fictional world-building, but can be difficult to achieve since illustrating a world from scratch requires time and significant skill. We investigate the use of recent multi-modal image…

Human-Computer Interaction · Computer Science 2023-08-28 Hai Dang , Frederik Brudy , George Fitzmaurice , Fraser Anderson

Text-to-image generative models have recently exploded in popularity and accessibility. Yet so far, use of these models in creative tasks that bridge the 2D digital world and the creation of physical artefacts has been understudied. We…

Artificial Intelligence · Computer Science 2023-02-02 Amy Smith , Hope Schroeder , Ziv Epstein , Michael Cook , Simon Colton , Andrew Lippman

Generative Artificial Intelligence systems have been developed for image, code, story, and game generation with the goal of facilitating human creativity. Recent work on neural generative systems has emphasized one particular means of…

Artificial Intelligence · Computer Science 2024-06-13 Zhiyu Lin , Upol Ehsan , Rohan Agarwal , Samihan Dani , Vidushi Vashishth , Mark Riedl

With the advancement of neural generative capabilities, the art community has increasingly embraced GenAI (Generative Artificial Intelligence), particularly large text-to-image models, for producing aesthetically compelling results.…

Human-Computer Interaction · Computer Science 2025-08-26 Aven-Le Zhou , Wei Wu , Yu-Ao Wang , Kang Zhang

Recent technological advances popularized the use of image generation among the general public. Crafting effective prompts can, however, be difficult for novice users. To tackle this challenge, we developed PromptMap, a new interaction…

Human-Computer Interaction · Computer Science 2025-04-04 Krzysztof Adamkiewicz , Paweł W. Woźniak , Julia Dominiak , Andrzej Romanowski , Jakob Karolus , Stanislav Frolov

Recent advances in Machine-Learning have led to the development of models that generate images based on a text description.Such large prompt-based text to image models (TTIs), trained on a considerable amount of data, allow the creation of…

Human-Computer Interaction · Computer Science 2023-03-23 Chinmay Kulkarni , Stefania Druga , Minsuk Chang , Alex Fiannaca , Carrie Cai , Michael Terry

We present ReTracing, a multi-agent embodied performance art that adopts an archaeological approach to examine how artificial intelligence shapes, constrains, and produces bodily movement. Drawing from science-fiction novels, the project…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Yitong Wang , Yue Yao

While diffusion-based text-to-image (T2I) models provide a simple and powerful way to generate images, guiding this generation remains a challenge. For concepts that are difficult to describe through language, users may struggle to create…

Human-Computer Interaction · Computer Science 2023-08-11 John Joon Young Chung , Eytan Adar

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 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
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