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Neural approaches to style transfer struggle with certain types of art, e.g. crisp yet smooth brush-strokes 🖋️. It's likely a combination of factors, including using models pre-trained on natural images. 📷

In this thread I'll experiment to learn more! 👇 #neuralimagen #procjam
Ah. Here's what happens visually when the optimization algorithm (L-BFGS) "explodes" 💥. I have not tracked down the cause yet, likely extending #PyTorch to understand parameter ranges would help.

(Left: previous iteration looks OK, Right: pixels go far out of range → clamped)
Example outputs of the Picasso drawing with more bias towards upper layers of the convnet (4x), then equalized, then bias towards lower layers (4x).

Interesting, but nothing like the original. Some insights forming!
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