{"url":"/dataset/pointcleannet","name":"PointDenoisingBenchmark","full_name":null,"description_markdown":"The **PointDenoisingBenchmark** dataset features 28 different shapes, split into 18 training shapes and 10 test shapes.\r\n\r\n* PointDenoisingBenchmark for outliers removal: contains noisy point clouds with different levels of gaussian noise and the corresponding clean ground truths.\r\n* PointDenoisingBenchmark for denoising: contains noisy point clouds with different levels of noise and density of outliers and the corresponding clean ground truths.\r\n\r\nSource: [PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds](/paper/pointcleannet-learning-to-denoise-and-remove)","description_withheld":null,"homepage":"http://www.lix.polytechnique.fr/Labo/Marie-Julie.RAKOTOSAONA/pointcleannet.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/pointcleannet-learning-to-denoise-and-remove","title":"PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds","first_author":"Marie-Julie Rakotosaona","url":null},"license":null,"modalities":[{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Denoising","url":"/task/denoising","datasets_with_task":"/datasets/task/denoising"},{"name":"Adversarial Attack","url":"/task/adversarial-attack","datasets_with_task":"/datasets/task/adversarial-attack"},{"name":"Abusive Language","url":"/task/abusive-language","datasets_with_task":"/datasets/task/abusive-language"}],"languages":[],"variants":["PointDenoisingBenchmark"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}