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**Note**: The current software works well with PyTorch 0.4. Check out the older [branch](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/tree/pytorch0.3.1) that supports PyTorch 0.1-0.3.
by [Christopher Hesse](https://twitter.com/christophrhesse)**
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<imgsrc='imgs/edges2cats.jpg'width="600px"/>
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If you use this code for your research, please cite:
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
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[Jun-Yan Zhu](https://people.eecs.berkeley.edu/~junyanz/)\*, [Taesung Park](https://taesung.me/)\*, [Phillip Isola](https://people.eecs.berkeley.edu/~isola/), [Alexei A. Efros](https://people.eecs.berkeley.edu/~efros)
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In ICCV 2017. (* equal contributions)
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In ICCV 2017. (* equal contributions)[[Bibtex]](https://junyanz.github.io/CycleGAN/CycleGAN.txt)
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Image-to-Image Translation with Conditional Adversarial Networks
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[Phillip Isola](https://people.eecs.berkeley.edu/~isola), [Jun-Yan Zhu](https://people.eecs.berkeley.edu/~junyanz), [Tinghui Zhou](https://people.eecs.berkeley.edu/~tinghuiz), [Alexei A. Efros](https://people.eecs.berkeley.edu/~efros)
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In CVPR 2017.
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In CVPR 2017.[[Bibtex]](http://people.csail.mit.edu/junyanz/projects/pix2pix/pix2pix.bib)
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## Course
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CycleGAN course assignment [code](http://www.cs.toronto.edu/~rgrosse/courses/csc321_2018/assignments/a4-code.zip) and [handout](http://www.cs.toronto.edu/~rgrosse/courses/csc321_2018/assignments/a4-handout.pdf) designed by Prof. [Roger Grosse](http://www.cs.toronto.edu/~rgrosse/) for [CSC321](http://www.cs.toronto.edu/~rgrosse/courses/csc321_2018/) "Intro to Neural Networks and Machine Learning" at University of Toronto. Please contact the instructor if you would like to adopt it in your course.
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