Xander Steenbrugge: SinGAN: Learning a Generative Model from a Single Natural Image.
Updated version of this great paper with tons of applications for patch synthesis and neural image editing!
Arxiv link: https://arxiv.org/abs/1905.01164
PDf link: https://arxiv.org/pdf/1905.01164.pdf https://t.co/hljNEouW8M
2 replies, 250 likes
roadrunner01: SinGAN: Learning a Generative Model from a Single Natural Image
0 replies, 53 likes
Shion Honda: Animated Ramen by SinGAN (https://arxiv.org/abs/1905.01164) https://t.co/Ngxr4nMjGq
2 replies, 49 likes
Jonathan Fly 👾: SinGAN has never seen a human before, or any other image at all, but it tries its best to animate whatever you give it. It almost succeeds with the hair but then it gets into some genuinely perturbing territory. https://t.co/Wlt28IiaUa
7 replies, 40 likes
DataScienceNigeria: We celebrate the Best Paper Award at the ongoing @ICCV19 in Seoul.
Awesome SinGAN: GANs that learn from a SINGLE natural image!
Kudos to @TamarRottShaham @talidekel & Tomer Micaeli
Video: https://youtu.be/xk8bWLZk4DU https://t.co/vpGaMnydBD
1 replies, 21 likes
arXiv CS-CV: SinGAN: Learning a Generative Model from a Single Natural Image http://arxiv.org/abs/1905.01164
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bayo adekanmbi: Enthused by Generative Adversarial Networks by @goodfellow_ian, you will like #SinGAN - GANs from a single natural image & its all-in-one possibilities for patch synthesis, neural image editing, harmonization, animation, super resolution,paint to image etc.
Best paper @ICCV19
0 replies, 9 likes
Hacker News: SinGAN: Learning a Generative Model from a Single Natural Image https://arxiv.org/abs/1905.01164
0 replies, 8 likes
Found on Oct 29 2019 at https://arxiv.org/pdf/1905.01164.pdf