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@@ -34,10 +34,9 @@ The quality of the generated images is reminiscent of the early days of GANs.
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  ![image.png](https://cdn-uploads.huggingface.co/production/uploads/649f9483d76ca0fe679011c2/dQsYZJ_SJAYCPeb0M9KrN.png)
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  # Image memorization
 
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- To check whether the Generator is simply memorizing particular images, latent space exploration can be used.
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- The latent vector for a generated image is slightly mutated, and the new images are compared to the original. The comparisons (shown below) suggest that mutations in the latent space correspond to small (sometimes imperceptible) mutations in the generated images.
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  These observations support the idea that the generator's space is continuous, and the generator is not restricted to a finite number of modes.
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  ![image.png](https://cdn-uploads.huggingface.co/production/uploads/649f9483d76ca0fe679011c2/dQsYZJ_SJAYCPeb0M9KrN.png)
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  # Image memorization
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+ To check whether the Generator is simply memorizing particular images, latent space exploration is used.
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+ The latent vector for a generated image is slightly mutated, and the new images are compared to the original. The comparisons (shown below) suggest that mutations in the latent space translate to small (sometimes imperceptible) mutations in the generated images.
 
 
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  These observations support the idea that the generator's space is continuous, and the generator is not restricted to a finite number of modes.
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