2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
CVPR 2019oral
Computer graphics, 3D computer vision and robotics communities have produced multiple approaches to representing 3D geometry for rendering and reconstruction. These provide trade-offs across fidelity, efficiency and compression capabilities. In this work, we introduce DeepSDF, a learned continuous S…