BU PhD Candidate Daniel Scrivener and his collaborators received an Honorable Mention for Best Paper Award at SIGGRAPH 2025
The paper “Faraday Cage Estimation of Normals for Point Clouds and Ribbon Sketches” received an Honorable Mention for Best Paper Award at SIGGRAPH 2025, one of the world’s premier conferences in computer graphics and interactive techniques.
The effort was led by BU PhD student Daniel Scrivener, in collaboration with BU Computer Science undergraduate alumni Daniel Cui (’25) and Ellis Coldren (’24), as well as S. Mazdak Abulnaga, Mikhail Bessmeltsev, and Professor Edward Chien.
The team’s research introduces a novel technique, FaCE (Faraday Cage Estimation), for surface reconstruction from unoriented 3D data, such as raw point clouds and VR ribbon sketches. It estimates surface normals by leveraging the physics of Faraday cages, modeling input points or ribbons as a “conductive cage” that shields interior regions from external fields. This produces more accurate and flexible surface reconstructions, especially in cases with complex internal structures or sparse artistic sketches.