Deep Meditations: Controlled navigation of latent space
Abstract
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{discover} and \textit{design} \textit{trajectories} in these high dimensional spaces, to construct stories, and produce time-based media such as videos---\textit{with meaningful control over narrative}. Our goal is to encourage and aid the use of deep generative models as a medium for creative expression and story telling with meaningful human control. Our method is analogous to traditional video production pipelines in that we use a conventional non-linear video editor with proxy clips, and conform with arrays of latent space vectors. Examples can be seen at \url{http://deepmeditations.ai}.
Cite
@article{arxiv.2003.00910,
title = {Deep Meditations: Controlled navigation of latent space},
author = {Memo Akten and Rebecca Fiebrink and Mick Grierson},
journal= {arXiv preprint arXiv:2003.00910},
year = {2020}
}
Comments
Presented at the 2nd Workshop on Machine Learning for Creativity and Design at the Neural Information Processing Systems (NeurIPS) 2018 conference in Montreal