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07/12/2021
Active Divergence with Generative Deep Learning – A Survey and Taxonomy
Generative deep learning systems offer powerful tools for artefact gener...
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07/09/2020
Guru, Partner, or Pencil Sharpener? Understanding Designers' Attitudes Towards Intelligent Creativity Support Tools
Creativity Support Tools (CST) aim to enhance human creativity, but the ...
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05/25/2020
Network Bending: Manipulating The Inner Representations of Deep Generative Models
We introduce a new framework for interacting with and manipulating deep ...
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02/28/2020
Learning to See: You Are What You See
The authors present a visual instrument developed as part of the creatio...
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02/27/2020
Deep Meditations: Controlled navigation of latent space
We introduce a method which allows users to creatively explore and navig...
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02/17/2020
Amplifying The Uncanny
Deep neural networks have become remarkably good at producing realistic ...
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10/06/2019
Transforming the output of GANs by fine-tuning them with features from different datasets
In this work we present a method for fine-tuning pre-trained GANs with f...
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10/06/2019
Searching for an (un)stable equilibrium: experiments in training generative models without data
This paper details a developing artistic practice around an ongoing seri...
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09/24/2017
Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks
We propose a computational framework to learn stylisation patterns from ...
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12/14/2016
Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks
We investigate a human-machine collaborative drawing environment in whic...
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12/14/2016