- ACM SIGGRAPH ASIA 2019
- Wang Yifan, , Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung
We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds. Gradients for point locations and normals are carefully designed to handle discontinuities of the rendering function. Regularization terms are introduced to ensure uniform distribution of the points on the underlying surface. We demonstrate applications of DSS to inverse rendering for geometry synthesis and denoising, where large scale topological changes, as well as small scale detail modifications, are accurately and robustly handled without requiring explicit connectivity, outperforming state-of-the-art techniques.
We would like to thank Federico Danieli for the insightful discussion, Philipp Herholz for the timely feedack and Romann Weber for the video voice-over. This work was supported in part by gifts from Adobe, Facebook and Snap, Inc.