[chmod775]

It's not for moving around, but for turning some image into a stereoscopic one (or 2 side-by-side images if you will). Lots of techniques for this exist, which usually turn an image into depth information using AI and then use any number of approaches to generate/warp 2 offset images from it.

So far the best looking results are still achieved with good old mesh warping and no inpainting at all. This may change that.

[avaer]

Ah, but if we're not talking 6DOF what's new with ml-sharp? We've had good autostereoscopy for a couple of years at least.

> So far the best looking results are still achieved with good old mesh warping and no inpainting at all.

I agree

> This may change that.

Seems not to be the case in my testing. The splats are too fine and sparse to yield an improvement. There are actually better (slower) image -> splat models than ml-sharp (with much higher dynamic range for the covariance) but I still don't use them over meshes for this.

The only improvements ml-sharp seems to add to the SOTA is 1) speed and 2) an interesting 2-focal layer architecture, but these are somewhat tangential steps.