Inspirational Adversarial Image Generation

Morgane Rivière
Morgane Rivière
Jérémy Rapin
Jérémy Rapin

CoRR, 2019.

Cited by: 4|Bibtex|Views102
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

The task of image generation started to receive some attention from artists and designers to inspire them in new creations. However, exploiting the results of deep generative models such as Generative Adversarial Networks can be long and tedious given the lack of existing tools. In this work, we propose a simple strategy to inspire crea...More

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