activity
20162026
most citedLearning to See: You Are What You See

27 citations · 67 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.AI2020★ 4 cited

Guru, Partner, or Pencil Sharpener? Understanding Designers' Attitudes Towards Intelligent Creativity Support Tools

Angus Main, Mick Grierson

Creativity Support Tools (CST) aim to enhance human creativity, but the deeply personal and subjective nature of creativity makes the design of universal support tools challenging.…

cs.CV2020

Network Bending: Expressive Manipulation of Deep Generative Models

Terence Broad, Frederic Fol Leymarie, Mick Grierson

We introduce a new framework for manipulating and interacting with deep generative models that we call network bending. We present a comprehensive set of deterministic transformati…

cs.CV2020★ 27 cited

Learning to See: You Are What You See

Memo Akten, Rebecca Fiebrink, Mick Grierson

The authors present a visual instrument developed as part of the creation of the artwork Learning to See. The artwork explores bias in artificial neural networks and provides mecha…

cs.CV2020★ 3 cited

Deep Meditations: Controlled navigation of latent space

Memo Akten, Rebecca Fiebrink, Mick Grierson

We introduce a method which allows users to creatively explore and navigate the vast latent spaces of deep generative models. Specifically, our method enables users to \textit{disc…

cs.CV2020★ 5 cited

Amplifying The Uncanny

Terence Broad, Frederic Fol Leymarie, Mick Grierson

Deep neural networks have become remarkably good at producing realistic deepfakes, images of people that (to the untrained eye) are indistinguishable from real images. Deepfakes ar…