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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
| Date | Stars |
|---|---|
| 2026-07-24 | 861 |
| 2026-07-25 | 861 |
| 2026-07-28 | 861 |
| 2026-07-30 | 861 |
| 2026-08-06 | 861 |
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growth rate 0.00%/day
# Domain Transfer Network (DTN) TensorFlow implementation of [Unsupervised Cross-Domain Image Generation.](https://arxiv.org/abs/1611.02200)  ## Requirements * [Python 2.7](https://www.continuum.io/downloads) * [TensorFlow 0.12](https://github.com/tensorflow/tensorflow/tree/r0.12) * [Pickle](https://docs.python.org/2/library/pickle.html) * [SciPy](http://www.scipy.org/install.html) <br> ## Usage #### Clone the repository ```bash $ git clone https://github.com/yunjey/dtn-tensorflow.git $ cd dtn-tensorflow ``` #### Download the dataset ```bash $ chmod +x download.sh $ ./download.sh ``` #### Resize MNIST dataset to 32x32 ```bash $ python prepro.py ``` #### Pretrain the model f ```bash $ python main.py --mode='pretrain' ``` #### Train the model G and D ```bash $ python main.py --mode='train' ``` #### Transfer SVHN to MNIST ```bash $ python main.py --mode='eval' ``` <br> ## Results #### From SVHN to MNIST     #### From Photos to Emoji (in paper)  
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Read on GitHubYunjey Choi · NAVER AI Lab · South Korea
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1395e92a4da72898, topic:image-generation, desc:image generation, readme:image generation
matched fp:1395e92a4da72898, topic:tensorflow