Robust Conditional 3D Shape Generation from Casual Captures

This turns point clouds into meshes.

That means it doesn’t need depth. Depth is helpful for getting good point locations, but SLAM on multiple frames should also work.

I’m guessing that they are researching this for AR or robot navigation. Otherwise, the focus on accurately dividing the scene into objects wouldn’t make sense for me.

Does this need depth data capture as well? The “casual captures” makes it seem like it only needs images, but apparently they are using depth data as well

Also, can it run on Apple silicon?