There would not be much point. Colmap is already very capable in reconstructing a 3D scene from images from unknown poses if you have the camera intrinsics. Be

There would not be much point. Colmap is already very capable in reconstructing a 3D scene from images from unknown poses if you have the camera intrinsics. Besides processing speed, this project (and the underlying dust3r model) strength is that it works with very few images. You basically just need 2, and it can infer pseudo instrinsics and matching extrinsics on it's own. I don't see why it could not be adapted to output gaussian splats instead. As a matter of fact, it's already been done with dust3r: https://github.com/nerlfield/wild-gaussian-splatting https://github.com/nerlfield/wild-gaussian-splatting.