PointDenoisingBenchmark
Introduced in PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds
About this Dataset
The PointDenoisingBenchmark dataset features 28 different shapes, split into 18 training shapes and 10 test shapes.
- PointDenoisingBenchmark for outliers removal: contains noisy point clouds with different levels of gaussian noise and the corresponding clean ground truths.
- PointDenoisingBenchmark for denoising: contains noisy point clouds with different levels of noise and density of outliers and the corresponding clean ground truths.
Source: PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds
Dataset Variants