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TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
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Latest commit eaa2d5e Jan 25, 2017
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LICENSE Initial commit Dec 30, 2016 Update Jan 21, 2017 download svhn dataset Jan 21, 2017 add code for creating directories Jan 22, 2017 name scope added Jan 24, 2017 download mnist and resize to 32x32 Jan 21, 2017 train and eval the model Jan 22, 2017

Domain Transfer Network (DTN)

TensorFlow implementation of Unsupervised Cross-Domain Image Generation. alt text



Clone the repository

$ git clone
$ cd dtn-tensorflow

Download the dataset

$ chmod +x
$ ./

Resize MNIST dataset to 32x32

$ python

Pretrain the model f

$ python --mode='pretrain'

Train the model G and D

$ python --mode='train'

Transfer SVHN to MNIST

$ python --mode='eval'



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From Photos to Emoji (in paper)

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