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The goal of this study was to investigate the translation of creative works into other domains. We tested whether people were able to recognize which works of art were inspired by which pieces of music. Three expert painters created four…

Neurons and Cognition · Quantitative Biology 2019-07-11 Apara Ranjan , Liane Gabora , Brian O'Connor

We present a set of studies that tested the hypothesis that creative style is recognizable within and across domains. Art students were shown two sets of paintings, the first by five famous artists and the second by their art student peers.…

Neurons and Cognition · Quantitative Biology 2019-07-02 Liane Gabora , Brian P. O'Connor , Apara Ranjan

It is hypothesized that creativity arises from the self-mending capacity of an internal model of the world, or worldview. The uniquely honed worldview of a creative individual results in a distinctive style that is recognizable within and…

Artificial Intelligence · Computer Science 2019-07-11 Liane Gabora

According to the honing theory of creativity, the iterative process culminating in a creative work is made possible by the self-organizing nature of a conceptual network, or worldview, and its innate holistic tendency to minimize…

Neurons and Cognition · Quantitative Biology 2018-09-19 V. Scotney , S. Weissmeyer , L. Gabora

This paper takes a two-pronged approach to investigate the phenomenon of cross-domain influence on creativity. We present a study in which creative individuals were asked to list influences on their creative work. More than half the listed…

Neurons and Cognition · Quantitative Biology 2019-07-17 Liane Gabora , Nicole Carbert

Considering the huge amount of art pieces that exist, there is valuable information to be discovered. Examining a painting, an expert can determine its style, genre, and the time period that the painting belongs. One important task for art…

Computer Vision and Pattern Recognition · Computer Science 2014-08-15 Babak Saleh , Kanako Abe , Ravneet Singh Arora , Ahmed Elgammal

The diversity of painting styles represents a rich visual vocabulary for the construction of an image. The degree to which one may learn and parsimoniously capture this visual vocabulary measures our understanding of the higher level…

Computer Vision and Pattern Recognition · Computer Science 2017-02-10 Vincent Dumoulin , Jonathon Shlens , Manjunath Kudlur

Assessing human creativity through visual outputs, such as drawings, plays a critical role in fields including psychology, education, and cognitive science. However, current assessment practices still rely heavily on expert-based subjective…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Zihao Lin , Zhenshan Shi , Sasa Zhao , Hanwei Zhu , Lingyu Zhu , Baoliang Chen , Lei Mo

We propose a system that learns from artistic pairings of music and corresponding album cover art. The goal is to 'translate' paintings into music and, in further stages of development, the converse. We aim to deploy this system as an…

Sound · Computer Science 2020-08-25 Prateek Verma , Constantin Basica , Pamela Davis Kivelson

While AI models have demonstrated remarkable capabilities in constrained domains like game strategy, their potential for genuine creativity in open-ended domains like art remains debated. We explore this question by examining how AI can…

We present interactive painting processes in which a painter and various neural style transfer algorithms interact on a real canvas. Understanding what these algorithms' outputs achieve is then paramount to describe the creative agency in…

Human-Computer Interaction · Computer Science 2020-03-17 Thomas Kerdreux , Louis Thiry , Erwan Kerdreux

Bisociative knowledge discovery is an approach that combines elements from two or more "incompatible" domains to generate creative solutions and insight. Inspired by Koestler's notion of bisociation, in this paper we propose a computational…

Social and Information Networks · Computer Science 2018-01-31 Faez Ahmed , Mark Fuge

Computer vision systems currently lack the ability to reliably recognize artistically rendered objects, especially when such data is limited. In this paper, we propose a method for recognizing objects in artistic modalities (such as…

Computer Vision and Pattern Recognition · Computer Science 2018-12-31 Christopher Thomas , Adriana Kovashka

Creativity is thought to involve searching and selecting amongst multiple discrete idea candidates. Honing theory predicts that it involves actualizing the potentiality of as few as a single ill-defined idea by viewing it from different…

Neurons and Cognition · Quantitative Biology 2014-09-01 Nicole Carbert , Liane Gabora , Jasmine Schwartz , Apara Ranjan

The music genre perception expressed through human annotations of artists or albums varies significantly across language-bound cultures. These variations cannot be modeled as mere translations since we also need to account for cultural…

Computation and Language · Computer Science 2020-11-17 Elena V. Epure , Guillaume Salha , Manuel Moussallam , Romain Hennequin

Can we develop a computer algorithm that assesses the creativity of a painting given its context within art history? This paper proposes a novel computational framework for assessing the creativity of creative products, such as paintings,…

Artificial Intelligence · Computer Science 2015-07-31 Ahmed Elgammal , Babak Saleh

Have you ever looked at a painting and wondered what is the story behind it? This work presents a framework to bring art closer to people by generating comprehensive descriptions of fine-art paintings. Generating informative descriptions…

Computer Vision and Pattern Recognition · Computer Science 2021-09-14 Zechen Bai , Yuta Nakashima , Noa Garcia

Experiential AI is proposed as a new research agenda in which artists and scientists come together to dispel the mystery of algorithms and make their mechanisms vividly apparent. It addresses the challenge of finding novel ways of opening…

Computers and Society · Computer Science 2019-08-08 Drew Hemment , Ruth Aylett , Vaishak Belle , Dave Murray-Rust , Ewa Luger , Jane Hillston , Michael Rovatsos , Frank Broz

Emotion and expressivity in music have been topics of considerable interest in the field of music information retrieval. In recent years, mid-level perceptual features have been suggested as means to explain computational predictions of…

Sound · Computer Science 2021-03-01 Shreyan Chowdhury , Gerhard Widmer

Creative thought is conventionally believed to involve searching memory and generating multiple independent candidate ideas followed by selection and refinement of the most promising. Honing theory, which grew out of the quantum approach to…

Neurons and Cognition · Quantitative Biology 2019-12-02 Victoria S. Scotney , Jasmine Schwartz , Nicole Carbert , Adam Saab , Liane Gabora
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