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This study explores artificial visual creativity, focusing on ChatGPT's ability to generate new images intentionally pastiching original artworks such as paintings, drawings, sculptures and installations. The process involved twelve artists…

Computation and Language · Computer Science 2026-03-09 Anca Dinu , Andreiana Mihail , Andra-Maria Florescu , Claudiu Creanga

While designers increasingly leverage Generative AI for divergent exploration, current interaction is optimized for convergent refinement, forcing users to specify fixed targets rather than open-ended search spaces. Based on a formative…

Human-Computer Interaction · Computer Science 2026-05-12 DaEun Choi , Kihoon Son , Jaesang Yu , Hyunjoon Jung , Juho Kim

The metaverse, enormous virtual-physical cyberspace, has brought unprecedented opportunities for artists to blend every corner of our physical surroundings with digital creativity. This article conducts a comprehensive survey on…

Computers and Society · Computer Science 2021-11-29 Lik-Hang Lee , Zijun Lin , Rui Hu , Zhengya Gong , Abhishek Kumar , Tangyao Li , Sijia Li , Pan Hui

Traditional map-making relies heavily on Geographic Information Systems (GIS), requiring domain expertise and being time-consuming, especially for repetitive tasks. Recent advances in generative AI (GenAI), particularly image diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Claudio Affolter , Sidi Wu , Yizi Chen , Lorenz Hurni

Machine generation of symbolic music and digital audio are hot topics but there have been relatively few digital musical instruments that integrate generative AI. Present musical AI tools are not artist centred and do not support…

Sound · Computer Science 2026-04-28 Charles Patrick Martin

Art appreciation serves as a crucial medium for emotional communication and sociocultural dialogue. In the digital era, fostering deep user engagement on online art appreciation platforms remains a challenge. Leveraging generative AI…

Human-Computer Interaction · Computer Science 2024-09-25 Yongming Li , Hangyue Zhang , Andrea Yaoyun Cui , Zisong Ma , Yunpeng Song , Zhongmin Cai , Yun Huang

Generative text-to-image models are disrupting the lives of creative professionals. Specifically, illustrators are threatened by models that claim to extract and reproduce their style. Yet, research on style transfer has rarely focused on…

Human-Computer Interaction · Computer Science 2025-01-31 Julien Porquet , Sitong Wang , Lydia B. Chilton

Ubiquitous computing encapsulates the idea for technology to be interwoven into the fabric of everyday life. As computing blends into everyday physical artifacts, powerful opportunities open up for social connection. Prior connected media…

We propose an integrated approach to active exploration by exploiting the Cartographer method as the base SLAM module for submap creation and performing efficient frontier detection in the geometrically co-aligned submaps induced by graph…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Zezhou Sun , Banghe Wu , Cheng-Zhong Xu , Sanjay E. Sarma , Jian Yang , Hui Kong

As an increasing number of interactive devices offer human-like assistance, there is a growing need to understand the human experience of interactive agents. When interactive artefacts with human-like features become intertwined in our…

Human-Computer Interaction · Computer Science 2020-09-11 Jasmin Niess , Paweł W. Woźniak

We investigate using generated decorative art as a source of inspiration for design tasks. Using a visual similarity search for image retrieval, the \emph{Camera Obscurer} app enables rapid searching of tens of thousands of generated…

Multimedia · Computer Science 2019-03-07 Dilpreet Singh , Nina Rajcic , Simon Colton , Jon McCormack

The increasing complexity and volume of network data demand effective analysis approaches, with visual exploration proving particularly beneficial. Immersive technologies, such as augmented reality, virtual reality, and large display walls,…

Human-Computer Interaction · Computer Science 2025-09-11 Lucas Joos , Maximilian T. Fischer , Julius Rauscher , Daniel A. Keim , Tim Dwyer , Falk Schreiber , Karsten Klein

Rendering volumetric scattering media, including clouds, fog, smoke, and other complex materials, is crucial for realism in computer graphics. Traditional path tracing, while unbiased, requires many long path samples to converge in scenes…

Graphics · Computer Science 2024-04-19 Becky Hu , Xi Deng , Fujun Luan , Miloš Hašan , Steve Marschner

Although explainable computational creativity seeks to create and sustain computational models of creativity that foster a collaboratively creative process through explainability, there remains little to no work in supporting designers when…

Human-Computer Interaction · Computer Science 2023-08-21 Michael Clemens

Here we present a series of artificial models - a total of four related models - based on machine learning techniques that attempt to learn from existing exhibitions which have been curated by human experts, in order to be able to do…

Machine Learning · Computer Science 2026-01-16 Eurico Covas

In numerous artificial intelligence applications, the collaborative efforts of multiple intelligent agents are imperative for the successful attainment of target objectives. To enhance coordination among these agents, a distributed…

Machine Learning · Computer Science 2024-11-04 Shengchao Hu , Li Shen , Ya Zhang , Dacheng Tao

In recent years, advancements in generative artificial intelligence have led to the development of sophisticated tools capable of mimicking diverse artistic styles, opening new possibilities for digital creativity and artistic expression.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-26 Andrea Asperti , Franky George , Tiberio Marras , Razvan Ciprian Stricescu , Fabio Zanotti

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

This work introduces ArtAdapter, a transformative text-to-image (T2I) style transfer framework that transcends traditional limitations of color, brushstrokes, and object shape, capturing high-level style elements such as composition and…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Dar-Yen Chen , Hamish Tennent , Ching-Wen Hsu

Editing and manipulating graph-based models within immersive environments is largely unexplored and certain design activities could benefit from using those technologies. For example, in the case study of architectural modelling, the 3D…

Human-Computer Interaction · Computer Science 2020-01-06 Adrien Coppens , Berat Bicer , Naz Yilmaz , Serhat Aras
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