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SinGAN: Learning a Generative Model from a Single Natural Image (view source)
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SinGAN | SinGAN<br> | ||
[https://arxiv.org/abs/1905.01164 Paper]<br> | [https://arxiv.org/abs/1905.01164 Paper]<br> | ||
[https://tomer.net.technion.ac.il/files/2019/09/SingleImageGan_SM.pdf Supplementary Material]<br> | [http://webee.technion.ac.il/people/tomermic/SinGAN/SinGAN.htm Author's Website]<br> | ||
[http:// | [https://tomer.net.technion.ac.il/files/2019/09/SingleImageGan_SM.pdf Supplementary Material] | ||
[http://openaccess.thecvf.com/content_ICCV_2019/supplemental/Shaham_SinGAN_Learning_a_ICCV_2019_supplemental.pdf Mirror(CVF Host)]<br> | |||
[http://openaccess.thecvf.com/content_ICCV_2019/html/Shaham_SinGAN_Learning_a_Generative_Model_From_a_Single_Natural_Image_ICCV_2019_paper.html ICCV]<br> | |||
[https://github.com/tamarott/SinGAN Github Official PyTorch Implementation]<br> | [https://github.com/tamarott/SinGAN Github Official PyTorch Implementation]<br> | ||
SinGAN: Learning a Generative Model from a Single Natural Image<br> | SinGAN: Learning a Generative Model from a Single Natural Image<br> | ||
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==Repo== | ==Repo== | ||
The official repo for SinGAN can be found on their [https://github.com/tamarott/SinGAN Github Repo]<br> | The official repo for SinGAN can be found on their [https://github.com/tamarott/SinGAN Github Repo]<br> | ||
==Citation== | |||
Here is the bibtex:<br> | |||
<pre> | |||
@InProceedings{Shaham_2019_ICCV, | |||
author = {Shaham, Tamar Rott and Dekel, Tali and Michaeli, Tomer}, | |||
title = {SinGAN: Learning a Generative Model From a Single Natural Image}, | |||
booktitle = {The IEEE International Conference on Computer Vision (ICCV)}, | |||
month = {October}, | |||
year = {2019} | |||
} | |||
</pre> | |||