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This produces a kind of artefact I haven't seen before, involving little chains of circles and diamonds, e.g. https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/
by mkl 5y ago
This produces a kind of artefact I haven't seen before, involving little chains of circles and diamonds, e.g. https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-r-ffhq-1024x1024/1805.png https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-..., https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-r-ffhq-1024x1024/0037.png https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-... (hair). I think they follow those glowing coordinate-ish lines from the internal representation.
It also seems to have given some faces contact lenses! https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-r-ffhq-1024x1024/1863.png https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-..., https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-r-ffhq-1024x1024/0269.png https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-...
- opwieurposiu 5y agoAlso the some teeth are getting drawn in front of the lips and the pupils are not round. I think the not-round pupils make the eyes point two different directions, kinda unsettling. https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-r-ffhq-1024x1024/0075.png https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-... https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-r-ffhq-1024x1024/1128.png https://nvlabs-fi-cdn.nvidia.com/stylegan3/images/stylegan3-...
- twofornone 5y agoI suspect because there's a lot of entropy in hair and because of the shape of the optimization function, (which might even have a spatial term) a regular pattern in such a noisy and hard to learn region falls into a local minimum while the rest of the image converges to the true minimum. There's a little meat left to optimize here, but you need to do it cleverly because there's no reason for a neural network to learn all the many combinations of hair pixels in this application. That could require as many parameters all the neurons involved in generating the faces, I'd bet.
- twofornone 5y agoThinking more about it, the shape of the solution space is sufficiently different for hair vs faces that any given combination of {optimization function, hyperparameters, training data} is unlikely to optimize for both. You probably need some other sort of special tuning, like a spatially local adaptive gradient for regions of hair.
- captainmuon 5y agoLooks like lizard people... I wonder if you can't just put a bunch of results with and without artifacts into two different bins, and do another round of training on them. But I don't know enough about how style transfer and retraining of these nets and all that modern stuff works to tell if that is feasible.
- WithinReason 5y agoIt already works that way in some sense
- smusamashah 5y agoSomeone on Twitter pointed out that it has larger repeating patterns too https://twitter.com/Zergfriend/status/1408184663420510209?s=20 https://twitter.com/Zergfriend/status/1408184663420510209?s=...