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GANILLA: Generative Adversarial Networks for Image to Illustration Translation

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hardmaru: GANILLA: Generative Adversarial Networks for Image to Illustration Translation https://arxiv.org/abs/2002.05638 code/pre-trained models/dataset https://github.com/giddyyupp/ganilla Style transfer using Ghibli anime: https://t.co/fk2uWIO1k8

5 replies, 540 likes


👩‍💻 DynamicWebPaige: "In this paper, we explore illustrations in children’s books as a new domain in unpaired image-to-image translation." https://arxiv.org/pdf/2002.05638v1.pdf 😄 Too cool! Note to self: create pictures of nieces in the illustration style of Arthur, Chrysanthemum, and Where the Wild Things Are. https://t.co/F0NBmzr4nQ

1 replies, 128 likes


✨ Joe Fabisevich™ ✨: This is one of the coolest uses of machine learning ever. I don't care if it's not useful, but the idea of turning everything into Studio Ghibli art makes me really happy.

2 replies, 100 likes


roadrunner01: GANILLA: Generative Adversarial Networks for Image to Illustration Translation pdf: https://arxiv.org/pdf/2002.05638.pdf abs: https://arxiv.org/abs/2002.05638 github: https://github.com/giddyyupp/ganilla https://t.co/UUimL70wVA

0 replies, 94 likes


Julianne Dalcanton: “We love illustration so let’s make this nifty thing that will lead to cutting back one of the few ways artists get paid.” #UnintendedConsequences

0 replies, 2 likes


Content

Found on Feb 16 2020 at https://arxiv.org/pdf/2002.05638.pdf

PDF content of a computer science paper: GANILLA: Generative Adversarial Networks for Image to Illustration Translation