activity
20102022
most citedIncorporating characteristics of human creativity into an evolutionary art algorithm

55 citations · 152 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 2 cited

Study of detecting behavioral signatures within DeepFake videos

Qiaomu Miao, Sinhwa Kang, Stacy Marsella +3

There is strong interest in the generation of synthetic video imagery of people talking for various purposes, including entertainment, communication, training, and advertisement. W…

cs.AI2020★ 8 cited

Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction

Ozge Nilay Yalcin, Nouf Abukhodair, Steve DiPaola

There is a growing recognition that artists use valuable ways to understand and work with cognitive and perceptual mechanisms to convey desired experiences and narrative in their c…

cs.CV2019

Using an AI creativity system to explore how aesthetic experiences are processed along the brains perceptual neural pathways

Vanessa Utz, Steve DiPaola

With the increased sophistication of AI techniques, the application of these systems has been expanding to ever newer fields. Increasingly, these systems are being used in modeling…

cs.AI2018★ 54 cited

Informing Artificial Intelligence Generative Techniques using Cognitive Theories of Human Creativity

Steve DiPaola, Liane Gabora, Graeme McCaig

The common view that our creativity is what makes us uniquely human suggests that incorporating research on human creativity into generative deep learning techniques might be a fru…

cs.NE2016★ 21 cited

Deep Convolutional Networks as Models of Generalization and Blending Within Visual Creativity

Graeme McCaig, Steve DiPaola, Liane Gabora

We examine two recent artificial intelligence (AI) based deep learning algorithms for visual blending in convolutional neural networks (Mordvintsev et al. 2015, Gatys et al. 2015).…

cs.NE2013★ 12 cited

How Did Humans Become So Creative? A Computational Approach

Liane Gabora, Steve DiPaola

This paper summarizes efforts to computationally model two transitions in the evolution of human creativity: its origins about two million years ago, and the 'big bang' of creativi…

cs.AI2010★ 55 cited

Incorporating characteristics of human creativity into an evolutionary art algorithm

Steve DiPaola, Liane Gabora

A perceived limitation of evolutionary art and design algorithms is that they rely on human intervention; the artist selects the most aesthetically pleasing variants of one generat…