Differentiable surface splatting for point-based geometry processing
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Yifan, Wang
Serena, Felice
Wu, Shihao
Öztireli, Cengiz
Sorkine-Hornung, Olga
Abstract
jats:pWe 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. The data and code are at https://github.com/yifita/DSS.</jats:p>
Description
Keywords
46 Information and Computing Sciences, 4607 Graphics, Augmented Reality and Games
Journal Title
ACM Transactions on Graphics
Conference Name
Journal ISSN
0730-0301
1557-7368
1557-7368
Volume Title
38
Publisher
Association for Computing Machinery (ACM)
Publisher DOI
Rights
All rights reserved