Probabilistic path models have significantly improved generative tasks in computer vision. Researchers use diffusion model as 3D pretrained decoder, learning representation by predicting noise.

Subsequently, point cloud mapping techniques, including an intensity-based planar downsampling strategy and a hierarchical refinement method, are employed to create accurate point cloud maps using the ...