{"url":"/task/surface-reconstruction","name":"Surface Reconstruction","slug":"surface-reconstruction","description_markdown":null,"categories":[],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":624,"papers_with_code":257,"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":9,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[{"url":"/dataset/omniobject3d","name":"OmniObject3D","full_name":"","num_papers_in_archive":70},{"url":"/dataset/scenenet","name":"SceneNet","full_name":"SceneNet","num_papers_in_archive":17},{"url":"/dataset/stanford-orb","name":"Stanford-ORB","full_name":"","num_papers_in_archive":16},{"url":"/dataset/ommo","name":"OMMO","full_name":"","num_papers_in_archive":7},{"url":"/dataset/foot3d","name":"Foot3D","full_name":"","num_papers_in_archive":4},{"url":"/dataset/p2s","name":"P2S","full_name":"Points2Surf","num_papers_in_archive":4},{"url":"/dataset/anim","name":"ANIM","full_name":"ANimals in Motion","num_papers_in_archive":1},{"url":"/dataset/synfoot","name":"SynFoot","full_name":"","num_papers_in_archive":1},{"url":"/dataset/virdo-dataset","name":"VIRDO Dataset","full_name":"VIRDO Simulated Kitchen Utensil Deformation Dataset","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":30,"of":257,"tagged_in_all":624,"items":[{"url":"/paper/neus-learning-neural-implicit-surfaces-by","title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","date":"2021-06-20","arxiv_id":"2106.10689","repositories_listed":7,"syntology":{"n":16,"n_ran":8,"n_unverified":8,"n_pointer_only":0}},{"url":"/paper/r-2-gaussian-rectifying-radiative-gaussian","title":"R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction","date":"2024-05-31","arxiv_id":"2405.20693","repositories_listed":3,"syntology":{"n":19,"n_ran":17,"n_unverified":2,"n_pointer_only":19}},{"url":"/paper/neus2-fast-learning-of-neural-implicit","title":"NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction","date":"2022-12-10","arxiv_id":"2212.05231","repositories_listed":3,"syntology":null},{"url":"/paper/habitat-matterport-3d-dataset-hm3d-1000-large","title":"Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI","date":"2021-09-16","arxiv_id":"2109.08238","repositories_listed":3,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":2}},{"url":"/paper/neuralrecon-real-time-coherent-3d","title":"NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video","date":"2021-04-01","arxiv_id":"2104.00681","repositories_listed":3,"syntology":{"n":7,"n_ran":2,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/universal-differentiable-renderer-for","title":"Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance","date":"2020-03-22","arxiv_id":"2003.09852","repositories_listed":3,"syntology":{"n":7,"n_ran":1,"n_unverified":6,"n_pointer_only":0}},{"url":"/paper/patch-based-progressive-3d-point-set","title":"Patch-based Progressive 3D Point Set Upsampling","date":"2018-11-27","arxiv_id":"1811.11286","repositories_listed":3,"syntology":null},{"url":"/paper/multi-view-surface-reconstruction-using","title":"Multi-view Surface Reconstruction Using Normal and Reflectance Cues","date":"2025-06-04","arxiv_id":"2506.04115","repositories_listed":2,"syntology":null},{"url":"/paper/spiking-gs-towards-high-accuracy-and-low-cost","title":"Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting","date":"2024-10-09","arxiv_id":"2410.07266","repositories_listed":2,"syntology":null},{"url":"/paper/gaussian-opacity-fields-efficient-and-compact","title":"Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes","date":"2024-04-16","arxiv_id":"2404.10772","repositories_listed":2,"syntology":{"n":4,"n_ran":4,"n_unverified":0,"n_pointer_only":4}},{"url":"/paper/learning-a-more-continuous-zero-level-set-in","title":"Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection","date":"2023-08-22","arxiv_id":"2308.11441","repositories_listed":2,"syntology":{"n":4,"n_ran":4,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/co-slam-joint-coordinate-and-sparse","title":"Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM","date":"2023-04-27","arxiv_id":"2304.14377","repositories_listed":2,"syntology":{"n":8,"n_ran":3,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/neural-vector-fields-implicit-representation","title":"Neural Vector Fields: Implicit Representation by Explicit Learning","date":"2023-03-08","arxiv_id":"2303.04341","repositories_listed":2,"syntology":{"n":7,"n_ran":4,"n_unverified":3,"n_pointer_only":0}},{"url":"/paper/dmnet-delaunay-meshing-network-for-3d-shape","title":"DMNet: Delaunay Meshing Network for 3D Shape Representation","date":"2023-01-01","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/lion-latent-point-diffusion-models-for-3d","title":"LION: Latent Point Diffusion Models for 3D Shape Generation","date":"2022-10-12","arxiv_id":"2210.06978","repositories_listed":2,"syntology":null},{"url":"/paper/rangeudf-semantic-surface-reconstruction-from","title":"RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds","date":"2022-04-19","arxiv_id":"2204.09138","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/neural-dual-contouring","title":"Neural Dual Contouring","date":"2022-02-04","arxiv_id":"2202.01999","repositories_listed":2,"syntology":{"n":8,"n_ran":0,"n_unverified":8,"n_pointer_only":0}},{"url":"/paper/extracting-triangular-3d-models-materials-and","title":"Extracting Triangular 3D Models, Materials, and Lighting From Images","date":"2021-11-24","arxiv_id":"2111.12503","repositories_listed":2,"syntology":null},{"url":"/paper/score-based-point-cloud-denoising","title":"Score-Based Point Cloud Denoising","date":"2021-07-23","arxiv_id":"2107.10981","repositories_listed":2,"syntology":{"n":3,"n_ran":2,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/shape-as-points-a-differentiable-poisson","title":"Shape As Points: A Differentiable Poisson Solver","date":"2021-06-07","arxiv_id":"2106.03452","repositories_listed":2,"syntology":{"n":7,"n_ran":6,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/unisurf-unifying-neural-implicit-surfaces-and","title":"UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction","date":"2021-04-20","arxiv_id":"2104.10078","repositories_listed":2,"syntology":{"n":10,"n_ran":8,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/neural-rgb-d-surface-reconstruction","title":"Neural RGB-D Surface Reconstruction","date":"2021-04-09","arxiv_id":"2104.04532","repositories_listed":2,"syntology":{"n":6,"n_ran":2,"n_unverified":4,"n_pointer_only":3}},{"url":"/paper/point2skeleton-learning-skeletal","title":"Point2Skeleton: Learning Skeletal Representations from Point Clouds","date":"2020-12-01","arxiv_id":"2012.00230","repositories_listed":2,"syntology":null},{"url":"/paper/neural-pull-learning-signed-distance","title":"Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces","date":"2020-11-26","arxiv_id":"2011.13495","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/reconstruction-and-quantification-of-3d-iris","title":"Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT","date":"2020-06-09","arxiv_id":"2006.05179","repositories_listed":2,"syntology":null},{"url":"/paper/surface-reconstruction-from-3d-line-segments","title":"Surface Reconstruction from 3D Line Segments","date":"2019-11-01","arxiv_id":"1911.00451","repositories_listed":2,"syntology":null},{"url":"/paper/humanmeshnet-polygonal-mesh-recovery-of","title":"HumanMeshNet: Polygonal Mesh Recovery of Humans","date":"2019-08-19","arxiv_id":"1908.06544","repositories_listed":2,"syntology":null},{"url":"/paper/controlling-neural-level-sets","title":"Controlling Neural Level Sets","date":"2019-05-28","arxiv_id":"1905.11911","repositories_listed":2,"syntology":null},{"url":"/paper/convolutional-neural-networks-on-non-uniform","title":"Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation","date":"2019-01-07","arxiv_id":"1901.02070","repositories_listed":2,"syntology":null},{"url":"/paper/anti-aliased-2d-gaussian-splatting","title":"Anti-Aliased 2D Gaussian Splatting","date":"2025-06-12","arxiv_id":"2506.11252","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_unverified":0,"n_pointer_only":4}}],"syntology_records":17,"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"}}