ACM Transactions on Graphics· 2019Q1
Differentiable surface splatting for point-based geometry processing
- 249citations
- Q1SCImago
- 2019year
Short summary
Differentiable Surface Splatting (DSS) enables high-fidelity rendering of point clouds with gradients for point locations and normals, allowing for robust inverse rendering applications like geometry synthesis and denoising.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds.
- Develops gradient computations for point locations and normals that handle rendering function discontinuities.
- Includes regularization terms to ensure uniform point distribution on surfaces.
- Demonstrates robust performance in inverse rendering for geometry synthesis and denoising, handling significant topological and detail changes.
AI-generated from the title and abstract; the full text is not read.
Abstract
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. The data and code are at https://github.com/yifita/DSS.
The authors' abstract, as published at the source. ACM Transactions on Graphics, 2019 · DOI ↗
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Field: Computer Graphics and Computer-Aided Design
Computer Graphics and Computer-Aided DesignComputer Science