Utonia: One Encoder For All Point Clouds
A LiDAR on a self-driving car, a depth camera in a home robot, a satellite scanner, and a CAD model from a 3D printer — each produces a point cloud point cloud A set of 3D points (x, y, z) representing the shape of an object or scene. Each point can carry additional attributes: color, normal, intensity. , but with radically different density, scale, and geometry. Until now, each domain required its own model. The paper “Utonia: Toward One Encoder for All Point Clouds” breaks this pattern — one encoder, 137M parameters, five domains, and emergent behaviors nobody expected. ...