{"url":"/task/lidar-scene-completion","name":"Lidar Scene Completion","slug":"lidar-scene-completion","description_markdown":"Obtaining dense scene representation from a sparse lidar point cloud.","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":4,"papers_with_code":4,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/lidar-scene-completion-on-semantickitti","slug":"lidar-scene-completion-on-semantickitti","dataset":"SemanticKITTI","dataset_url":"/dataset/semantickitti","rows_in_archive":4,"metrics":["Chamfer Distance","JSD 3D","JSD BEV","Voxel IoU 0.1m","Voxel IoU 0.2m","Voxel IoU 0.5m"],"first_row_in_archive_order":{"model":"LiDiff (refined)","paper_title":"Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion","paper_url":"/paper/scaling-diffusion-models-to-real-world-3d","paper_date":"2024-03-20","arxiv_id":"2403.13470","code_links":[{"title":"prbonn/lidiff","url":"https://github.com/prbonn/lidiff"}],"syntology":{"n":6,"n_ran":4,"n_unverified":2,"n_pointer_only":0}}}],"datasets":[{"url":"/dataset/semantickitti","name":"SemanticKITTI","full_name":"","num_papers_in_archive":669}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":4,"of":4,"tagged_in_all":4,"items":[{"url":"/paper/lidpm-rethinking-point-diffusion-for-lidar","title":"LiDPM: Rethinking Point Diffusion for Lidar Scene Completion","date":"2025-04-24","arxiv_id":"2504.17791","repositories_listed":1,"syntology":null},{"url":"/paper/diffusion-distillation-with-direct-preference","title":"Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion","date":"2025-04-15","arxiv_id":"2504.11447","repositories_listed":1,"syntology":null},{"url":"/paper/distilling-diffusion-models-to-efficient-3d","title":"Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion","date":"2024-12-04","arxiv_id":"2412.03515","repositories_listed":1,"syntology":null},{"url":"/paper/scaling-diffusion-models-to-real-world-3d","title":"Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion","date":"2024-03-20","arxiv_id":"2403.13470","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_unverified":2,"n_pointer_only":0}}],"syntology_records":1,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}