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Well, I got _something_ to work on Apple Silicon:

https://github.com/rcarmo/ml-sharp (has a little demo GIF)

I am looking at ways to approximate Gaussian splats without having to reinvent the wheel, but I'm a bit over my depth since I haven't been playing a lot of attention to those in general.

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I'm quite delighted that the gif banding artefacts make it look life the photi of a fire is flickering, and also highly impressed that the AI was able to recognize the fire as a photo within a photo and keep it in 2d.

The example doesn't look particularly impressive to say the least. Look at the bottom 20 %

I just refactored the rendering and resampling approach. Took me a few tries to figure out how to remove the banding masks from the layers, but with more stacked layers and a bit of GPT-foo to figure out the API it sort of works now (updated the GIF)

Keep in mind that this is not Gaussian splat rendering but just a hacked approximation--on my NVIDIA machine that looks way smoother.