{"url":"/task/3d-semantic-scene-completion","name":"3D Semantic Scene Completion","slug":"3d-semantic-scene-completion","description_markdown":"This task was introduced in \"Semantic Scene Completion from a Single Depth Image\" (https://arxiv.org/abs/1611.08974) at CVPR 2017 . The target is to infer the dense 3D voxelized semantic scene from an incompleted 3D input (e.g. point cloud, depth map) and an optional RGB image.  A recent summary can be found in the paper  \"3D Semantic Scene Completion: a Survey\" (https://arxiv.org/abs/2103.07466), published at IJCV 2021.","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":65,"papers_with_code":34,"benchmarks":4,"benchmark_tables_in_archive":4,"benchmark_tables_shown":4,"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":5,"subtasks":1,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/3d-semantic-scene-completion-on-nyuv2","slug":"3d-semantic-scene-completion-on-nyuv2","dataset":"NYUv2","dataset_url":"/dataset/nyuv2","rows_in_archive":28,"metrics":["mIoU"],"first_row_in_archive_order":{"model":"SG-SSC","paper_title":"2D Semantic-Guided Semantic Scene Completion","paper_url":"/paper/2d-semantic-guided-semantic-scene-completion","paper_date":"2024-09-12","arxiv_id":null,"code_links":[{"title":"aipixel/SG-SSC","url":"https://github.com/aipixel/SG-SSC"}],"syntology":null}},{"leaderboard":"/sota/3d-semantic-scene-completion-on-semantickitti","slug":"3d-semantic-scene-completion-on-semantickitti","dataset":"SemanticKITTI","dataset_url":"/dataset/semantickitti","rows_in_archive":20,"metrics":["mIoU"],"first_row_in_archive_order":{"model":"TALoS","paper_title":"TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight","paper_url":"/paper/talos-enhancing-semantic-scene-completion-via","paper_date":"2024-10-21","arxiv_id":"2410.15674","code_links":[{"title":"blue-531/talos","url":"https://github.com/blue-531/talos"}],"syntology":{"n":17,"n_ran":6,"n_unverified":11,"n_pointer_only":17}}},{"leaderboard":"/sota/3d-semantic-scene-completion-on-kitti-360","slug":"3d-semantic-scene-completion-on-kitti-360","dataset":"KITTI-360","dataset_url":"/dataset/kitti-360","rows_in_archive":7,"metrics":["mIoU"],"first_row_in_archive_order":{"model":"Symphonies","paper_title":"Symphonize 3D Semantic Scene Completion with Contextual Instance Queries","paper_url":"/paper/symphonize-3d-semantic-scene-completion-with","paper_date":"2023-06-27","arxiv_id":"2306.15670","code_links":[{"title":"hustvl/symphonies","url":"https://github.com/hustvl/symphonies"}],"syntology":{"n":8,"n_ran":1,"n_unverified":7,"n_pointer_only":0}}},{"leaderboard":"/sota/3d-semantic-scene-completion-on-pro-text","slug":"3d-semantic-scene-completion-on-pro-text","dataset":"PRO-teXt","dataset_url":"/dataset/pro-text","rows_in_archive":4,"metrics":["F1","CD","CMD"],"first_row_in_archive_order":{"model":"LSDM","paper_title":null,"paper_url":null,"paper_date":"","arxiv_id":null,"code_links":[],"syntology":null}}],"datasets":[{"url":"/dataset/nyuv2","name":"NYUv2","full_name":"NYU-Depth V2","num_papers_in_archive":986},{"url":"/dataset/semantickitti","name":"SemanticKITTI","full_name":"","num_papers_in_archive":669},{"url":"/dataset/kitti-360","name":"KITTI-360","full_name":"","num_papers_in_archive":246},{"url":"/dataset/sscbench","name":"SSCBench","full_name":"","num_papers_in_archive":13},{"url":"/dataset/pro-text","name":"PRO-teXt","full_name":"","num_papers_in_archive":4}],"subtasks":[{"url":"/task/3d-semantic-scene-completion-from-a-single","name":"3D Semantic Scene Completion from a single RGB image"}],"parent_tasks":[{"url":"/task/3d-reconstruction","name":"3D Reconstruction"}],"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":30,"of":34,"tagged_in_all":65,"items":[{"url":"/paper/tri-perspective-view-for-vision-based-3d","title":"Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction","date":"2023-02-15","arxiv_id":"2302.07817","repositories_listed":3,"syntology":{"n":4,"n_ran":3,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/lmscnet-lightweight-multiscale-3d-semantic","title":"LMSCNet: Lightweight Multiscale 3D Semantic Completion","date":"2020-08-24","arxiv_id":"2008.10559","repositories_listed":3,"syntology":null},{"url":"/paper/semantic-scene-completion-from-a-single-depth","title":"Semantic Scene Completion from a Single Depth Image","date":"2016-11-28","arxiv_id":"1611.08974","repositories_listed":3,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/monoscene-monocular-3d-semantic-scene","title":"MonoScene: Monocular 3D Semantic Scene Completion","date":"2021-12-01","arxiv_id":"2112.00726","repositories_listed":2,"syntology":{"n":6,"n_ran":3,"n_unverified":3,"n_pointer_only":0}},{"url":"/paper/sparse-single-sweep-lidar-point-cloud","title":"Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion","date":"2020-12-07","arxiv_id":"2012.03762","repositories_listed":2,"syntology":null},{"url":"/paper/scfusion-real-time-incremental-scene","title":"SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion","date":"2020-10-26","arxiv_id":"2010.13662","repositories_listed":2,"syntology":{"n":7,"n_ran":0,"n_unverified":7,"n_pointer_only":0}},{"url":"/paper/3d-sketch-aware-semantic-scene-completion-via","title":"3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior","date":"2020-03-31","arxiv_id":"2003.14052","repositories_listed":2,"syntology":{"n":3,"n_ran":1,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/disentangling-instance-and-scene-contexts-for","title":"Disentangling Instance and Scene Contexts for 3D Semantic Scene Completion","date":"2025-07-11","arxiv_id":"2507.08555","repositories_listed":1,"syntology":{"n":8,"n_ran":1,"n_unverified":7,"n_pointer_only":8}},{"url":"/paper/camera-only-3d-panoptic-scene-completion-for","title":"Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes","date":"2025-05-14","arxiv_id":"2505.09562","repositories_listed":1,"syntology":null},{"url":"/paper/sgformer-satellite-ground-fusion-for-3d","title":"SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion","date":"2025-03-21","arxiv_id":"2503.16825","repositories_listed":1,"syntology":null},{"url":"/paper/vlscene-vision-language-guidance-distillation","title":"VLScene: Vision-Language Guidance Distillation for Camera-Based 3D Semantic Scene Completion","date":"2025-03-08","arxiv_id":"2503.06219","repositories_listed":1,"syntology":null},{"url":"/paper/skip-mamba-diffusion-for-monocular-3d","title":"Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion","date":"2025-01-13","arxiv_id":"2501.07260","repositories_listed":1,"syntology":null},{"url":"/paper/soap-vision-centric-3d-semantic-scene","title":"SOAP: Vision-Centric 3D Semantic Scene Completion with Scene-Adaptive Decoder and Occluded Region-Aware View Projection","date":"2025-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/talos-enhancing-semantic-scene-completion-via","title":"TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight","date":"2024-10-21","arxiv_id":"2410.15674","repositories_listed":1,"syntology":{"n":17,"n_ran":6,"n_unverified":11,"n_pointer_only":17}},{"url":"/paper/2d-semantic-guided-semantic-scene-completion","title":"2D Semantic-Guided Semantic Scene Completion","date":"2024-09-12","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/hierarchical-temporal-context-learning-for","title":"Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion","date":"2024-07-02","arxiv_id":"2407.02077","repositories_listed":1,"syntology":null},{"url":"/paper/occfiner-offboard-occupancy-refinement-with","title":"Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving","date":"2024-03-13","arxiv_id":"2403.08504","repositories_listed":1,"syntology":null},{"url":"/paper/camera-based-3d-semantic-scene-completion","title":"Camera-based 3D Semantic Scene Completion with Sparse Guidance Network","date":"2023-12-10","arxiv_id":"2312.05752","repositories_listed":1,"syntology":{"n":8,"n_ran":3,"n_unverified":5,"n_pointer_only":8}},{"url":"/paper/ndc-scene-boost-monocular-3d-semantic-scene","title":"NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space","date":"2023-09-26","arxiv_id":"2309.14616","repositories_listed":1,"syntology":{"n":7,"n_ran":5,"n_unverified":2,"n_pointer_only":7}},{"url":"/paper/symphonize-3d-semantic-scene-completion-with","title":"Symphonize 3D Semantic Scene Completion with Contextual Instance Queries","date":"2023-06-27","arxiv_id":"2306.15670","repositories_listed":1,"syntology":{"n":8,"n_ran":1,"n_unverified":7,"n_pointer_only":0}},{"url":"/paper/sscbench-a-large-scale-3d-semantic-scene","title":"SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving","date":"2023-06-15","arxiv_id":"2306.09001","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}},{"url":"/paper/stereoscene-bev-assisted-stereo-matching","title":"Bridging Stereo Geometry and BEV Representation with Reliable Mutual Interaction for Semantic Scene Completion","date":"2023-03-24","arxiv_id":"2303.13959","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/scpnet-semantic-scene-completion-on-point","title":"SCPNet: Semantic Scene Completion on Point Cloud","date":"2023-03-13","arxiv_id":"2303.06884","repositories_listed":1,"syntology":null},{"url":"/paper/occdepth-a-depth-aware-method-for-3d-semantic","title":"OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion","date":"2023-02-27","arxiv_id":"2302.13540","repositories_listed":1,"syntology":{"n":6,"n_ran":3,"n_unverified":3,"n_pointer_only":0}},{"url":"/paper/voxformer-sparse-voxel-transformer-for-camera","title":"VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion","date":"2023-02-23","arxiv_id":"2302.12251","repositories_listed":1,"syntology":null},{"url":"/paper/data-augmented-3d-semantic-scene-completion","title":"Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors","date":"2021-11-26","arxiv_id":"2111.13309","repositories_listed":1,"syntology":null},{"url":"/paper/atiss-autoregressive-transformers-for-indoor","title":"ATISS: Autoregressive Transformers for Indoor Scene Synthesis","date":"2021-10-07","arxiv_id":"2110.03675","repositories_listed":1,"syntology":null},{"url":"/paper/semantic-segmentation-assisted-scene","title":"Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds","date":"2021-09-23","arxiv_id":"2109.11453","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":3}},{"url":"/paper/semantic-scene-completion-via-integrating","title":"Semantic Scene Completion via Integrating Instances and Scene in-the-Loop","date":"2021-04-08","arxiv_id":"2104.03640","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":3}}],"syntology_records":15,"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"}}