PointDenoisingBenchmark
Introduced by Rakotosaona et al. in PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds
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.
Papers
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