https://github.com/enijkamp/triangle

Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907
https://github.com/enijkamp/triangle

computer-vison deep-learning generative-model

Last synced: about 1 year ago
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Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907

• Host: GitHub
• URL: https://github.com/enijkamp/triangle
• Owner: enijkamp
• Created: 2019-06-12T01:42:13.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2023-03-24T21:56:30.000Z (over 3 years ago)
• Last Synced: 2025-04-30T03:39:30.850Z (about 1 year ago)
• Topics: computer-vison, deep-learning, generative-model
• Language: Python
• Homepage: https://enijkamp.github.io/project_triangle/
• Size: 12.7 KB
• Stars: 16
• Watchers: 1
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model.

## Publication.

https://arxiv.org/abs/1812.10907.

    @article{han2018divergence,

      title={Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model},

      author={Han, Tian and Nijkamp, Erik and Fang, Xiaolin and Hill, Mitch and Zhu, Song-Chun and Wu, Ying Nian},

      journal={arXiv preprint arXiv:1812.10907},

      year={2018}

    }

    

## Training on CIFAR-10.

```

pip3 install -r requirements.txt

python3 train_cifar10.py

```