Trained weights via any generic learning algorithm (shows the solution is learnable — encourages creative ideas on data format, tokenization, and curriculum)
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We can see that the threshold map distributes perturbations more optimally than purely random noise, resulting in a clearer and more detailed final image. The algorithm itself is extremely simple and trivially parallelisable, requiring only a few operations per pixel.