Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring Latent Dimensions of Crowd-sourced Creativity   Recently, the discovery of interpretable directions in the latent spaces of
pre-trained GANs has become a popular topic. While existing works mostly
consider directions for semantic image manipulations, we focus on an abstract
property: creativity. Can we manipulate an image to be more or less creative?
We build our work on the largest AI-based creativity platform, Artbreeder,
where users can generate images using pre-trained GAN models. We explore the
latent dimensions of images generated on this platform and present a novel
framework for manipulating images to make them more creative. Our code and
dataset are available at http://github.com/catlab-team/latentcreative.

25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess