Next, it conditions a 3D point cloud (1024 points) on the synthetic view. Finally, it produces a fine 3D point cloud (4096 points) conditioned on the low-resolution point cloud and the synthetic ...

It will then run that generated image through a series of diffusion models to create the 3D, RGB point cloud of the initial image — first producing a coarse 1,024-point cloud model, then a finer ...

This episode looks at the "point clouds" for 3D data visuals used in architecture, archaeology, and autonomous driving. Plus, robots learn new moves. Point cloud data is captured with LiDAR.