Deep Meditations: Controlled navigation of latent space
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Akten, Memo; Fiebrink, Rebecca and Grierson, Mick. 2018. 'Deep Meditations: Controlled navigation of latent space'. In: NeurIPS 2018 Workshop on Machine Learning for Creativity and Design. Montreal, Canada 8 December 2018. [Conference or Workshop Item]
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Text
Deep_Meditations.pdf Download (9MB) | Preview |
Abstract or Description
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 discover and design trajectories in these high dimensional spaces, to construct stories, and produce time-based media such as videos—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 http://deepmeditations.ai.
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Item Type: |
Conference or Workshop Item (Poster) |
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| Departments, Centres and Research Units: |
Computing |
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| Dates: |
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| Event Location: |
Montreal, Canada |
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| Date range: |
8 December 2018 |
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| Item ID: |
25245 |
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| Date Deposited: |
13 Dec 2018 12:17 |
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| Last Modified: |
29 Apr 2020 17:01 |
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