Explicit Surface
Explicit surface representation focuses on creating and manipulating 3D surfaces directly, as opposed to implicit methods that define surfaces indirectly through functions. Current research emphasizes efficient algorithms for reconstructing explicit surfaces from various input data like point clouds and signed/unsigned distance fields, often employing neural networks (e.g., explicit neural surfaces, geometry-guided distance representations) to achieve high accuracy and speed. These advancements are significant for applications ranging from computer graphics and animation to medical imaging and robotics, enabling improved modeling, rendering, and interaction with complex 3D shapes.
Papers
April 14, 2022
December 17, 2021