Datasets › PointDenoisingBenchmark

PointDenoisingBenchmark

Introduced by Marie-Julie Rakotosaona et al. in PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds archive 2025-07-28

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

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • PointDenoisingBenchmark

1 variant name, as the archive lists them.

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