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AIPlane

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Fix Progressive Growing justification

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  1. README.md +3 -3
README.md CHANGED
@@ -30,12 +30,12 @@ The Generator uses Transposed Convolutions (2x2 kernel) with strides for upsampl
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  Progressive Growing of GAN resolutions is suggested to improve the Quality and Stability of GAN training, especially for higher resolution models (1024x1024).
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- For 32x32 images of Airplanes, it is unclear if there is a positive impact on the Image Quality at comparable points during model training:
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  | Flat Growing (50K steps) | Progressive Growing (50K steps) |
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  | ----------- | ------------ |
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- | ![image.png](https://cdn-uploads.huggingface.co/production/uploads/649f9483d76ca0fe679011c2/CbqOqA3z08lWPoygrbk-w.png) | ![image.png](https://cdn-uploads.huggingface.co/production/uploads/649f9483d76ca0fe679011c2/lT_IwqkL60M1RSxEtJLaJ.png) |
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- However, it doesn't negatively impact the training process and the additional parameter cost is very small (876.6 KB vs 855.1 KB for the generator).
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  # Does the model simply memorize the images?
 
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  Progressive Growing of GAN resolutions is suggested to improve the Quality and Stability of GAN training, especially for higher resolution models (1024x1024).
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+ For 32x32 images of Airplanes, even a short initial round of Progressive Growing clearly has an impact:
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  | Flat Growing (50K steps) | Progressive Growing (50K steps) |
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  | ----------- | ------------ |
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+ | ![image.png](https://cdn-uploads.huggingface.co/production/uploads/649f9483d76ca0fe679011c2/QnTET-5ae_0x11CcXeWgR.png) | ![image.png](https://cdn-uploads.huggingface.co/production/uploads/649f9483d76ca0fe679011c2/lT_IwqkL60M1RSxEtJLaJ.png) |
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+ Moreover, the additional parameter cost is very small (876.6 KB vs 855.1 KB for the generator).
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  # Does the model simply memorize the images?