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Differentiable surface splatting for point-based geometry processing

Accepted version
Peer-reviewed

Type

Article

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

Volume Title

38

Publisher

Association for Computing Machinery (ACM)

Rights

All rights reserved