{"url":"/dataset/m-pccd","name":"M-PCCD","full_name":"MPEG Point Cloud Compression Dataset","description_markdown":"The emerging MPEG point cloud codecs (V-PCC and G-PCC variants) are assessed, and best practices for rate allocation are investigated [1]. For this purpose, three experiments are conducted. In the first experiment, a rigorous evaluation of the codecs is performed, adopting test conditions dictated by experts of the group on a carefully selected set of models, using both subjective and objective quality assessment methodologies. In the other two experiments, different rate allocation schemes for geometry-only and geometry-plus-color encoding are subjectively evaluated, in order to draw conclusions on the best-performing approaches in terms of perceived quality for a given bit rate.\r\n\r\nIn this webpage, we make publicly available quality scores associated with the stimuli under assessment for each experiment. For purposes of reproducibility, a content that is used while not being part of established point cloud repositories adopted by standardisation bodies, is re-distributed. Moreover, scripts are provided in order to generate the reference models and the rendering-related meta-data that are used in this study.","description_withheld":null,"homepage":"https://www.epfl.ch/labs/mmspg/downloads/quality-assessment-for-point-cloud-compression/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Point Cloud Quality Assessment","url":"/task/point-cloud-quality-assessment","datasets_with_task":"/datasets/task/point-cloud-quality-assessment"}],"languages":[],"variants":["M-PCCD"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/point-cloud-quality-assessment-on-m-pccd","task":"Point Cloud Quality Assessment","dataset_variant":"M-PCCD","rows":1,"metrics":["Pearson Correlation Coefficient "],"first_row_in_archive_order":{"model":"-","paper":"/paper/joint-geometry-and-color-projection-based","metrics":{"Pearson Correlation Coefficient ":"95.6"},"code_links":[{"title":"AlirezaJav/Projection-based-PC-Quality-Metric","url":"https://github.com/AlirezaJav/Projection-based-PC-Quality-Metric"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/joint-geometry-and-color-projection-based","title":"Joint Geometry and Color Projection-based Point Cloud Quality Metric","date":"2021-08-05","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}