{"url":"/task/3d-semantic-occupancy-prediction","name":"3D Semantic Occupancy Prediction","slug":"3d-semantic-occupancy-prediction","description_markdown":"Uses sparse LiDAR semantic labels for training and testing","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":47,"papers_with_code":15,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"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":[],"datasets":[{"url":"/dataset/simbev","name":"SimBEV","full_name":"","num_papers_in_archive":1}],"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":15,"of":15,"tagged_in_all":47,"items":[{"url":"/paper/out-of-distribution-semantic-occupancy","title":"Out-of-Distribution Semantic Occupancy Prediction","date":"2025-06-26","arxiv_id":"2506.21185","repositories_listed":1,"syntology":null},{"url":"/paper/quadricformer-scene-as-superquadrics-for-3d","title":"QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction","date":"2025-06-12","arxiv_id":"2506.10977","repositories_listed":1,"syntology":null},{"url":"/paper/rethinking-temporal-fusion-with-a-unified","title":"Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction","date":"2025-04-17","arxiv_id":"2504.12959","repositories_listed":1,"syntology":null},{"url":"/paper/sliceocc-indoor-3d-semantic-occupancy","title":"SliceOcc: Indoor 3D Semantic Occupancy Prediction with Vertical Slice Representation","date":"2025-01-28","arxiv_id":"2501.16684","repositories_listed":1,"syntology":null},{"url":"/paper/gausstr-foundation-model-aligned-gaussian","title":"GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding","date":"2024-12-17","arxiv_id":"2412.13193","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/probabilistic-gaussian-superposition-for","title":"GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction","date":"2024-12-05","arxiv_id":"2412.04384","repositories_listed":1,"syntology":{"n":4,"n_ran":1,"n_unverified":3,"n_pointer_only":4}},{"url":"/paper/robust-3d-semantic-occupancy-prediction-with","title":"Robust 3D Semantic Occupancy Prediction with Calibration-free Spatial Transformation","date":"2024-11-19","arxiv_id":"2411.12177","repositories_listed":1,"syntology":null},{"url":"/paper/alocc-adaptive-lifting-based-3d-semantic","title":"ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction","date":"2024-11-12","arxiv_id":"2411.07725","repositories_listed":1,"syntology":null},{"url":"/paper/daocc-3d-object-detection-assisted-multi","title":"DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction","date":"2024-09-30","arxiv_id":"2409.19972","repositories_listed":1,"syntology":null},{"url":"/paper/gaussianformer-scene-as-gaussians-for-vision","title":"GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction","date":"2024-05-27","arxiv_id":"2405.17429","repositories_listed":1,"syntology":null},{"url":"/paper/unleashing-hydra-hybrid-fusion-depth","title":"Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception","date":"2024-03-12","arxiv_id":"2403.07746","repositories_listed":1,"syntology":null},{"url":"/paper/occfusion-a-straightforward-and-effective","title":"OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction","date":"2024-03-03","arxiv_id":"2403.01644","repositories_listed":1,"syntology":null},{"url":"/paper/inversematrixvt3d-an-efficient-projection","title":"InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction","date":"2024-01-23","arxiv_id":"2401.12422","repositories_listed":1,"syntology":null},{"url":"/paper/pointocc-cylindrical-tri-perspective-view-for","title":"PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction","date":"2023-08-31","arxiv_id":"2308.16896","repositories_listed":1,"syntology":null},{"url":"/paper/occformer-dual-path-transformer-for-vision","title":"OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction","date":"2023-04-11","arxiv_id":"2304.05316","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_unverified":2,"n_pointer_only":0}}],"syntology_records":3,"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"}}