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license: mit |
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language: |
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- en |
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pipeline_tag: unconditional-image-generation |
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--- |
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# This is an officila repository to generate some sample results from the FastGAN model presented in the paper: SinGAN-Seg: Synthetic training data generation for medical image segmentation [here](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267976) |
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# A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch |
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The official pytorch implementation of the FAT-GAN paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis", the paper can be found [here](https://arxiv.org/abs/2101.04775). |
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```python |
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python generate_4ch_from_huggingface.py |
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``` |
