{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/point-cloud-completion/papers/2","list_of":"/task/point-cloud-completion","task":"Point Cloud Completion","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,174],"of":174,"counts":{"archive_papers_tagged":174,"with_a_code_link":97,"where_syntology_ran_a_sample":36,"not_listed_spam_title":0,"listed":174,"listed_where_code_ran":36,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":29,"every_run_a_failure_of_syntologys_instrument":7,"listed_with_a_run_with_no_instrument_failure":29,"listed_every_run_a_failure_of_syntologys_instrument":7,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/point-cloud-completion","prev":"/task/point-cloud-completion","next":null,"papers":[{"url":null,"slug":"flexible-weighted-chamfer-distance-enhanced","title":"Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion","date":"2025-05-20","arxiv_id":"2505.14218","repositories_listed":0,"syntology":null},{"url":null,"slug":"refcomp-a-reference-guided-unified-framework","title":"RefComp: A Reference-guided Unified Framework for Unpaired Point Cloud Completion","date":"2025-04-18","arxiv_id":"2504.13788","repositories_listed":0,"syntology":null},{"url":null,"slug":"pow3r-empowering-unconstrained-3d","title":"Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors","date":"2025-03-21","arxiv_id":"2503.17316","repositories_listed":0,"syntology":null},{"url":null,"slug":"superpc-a-single-diffusion-model-for-point","title":"SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization","date":"2025-03-18","arxiv_id":"2503.14558","repositories_listed":0,"syntology":null},{"url":"/paper/genpc-zero-shot-point-cloud-completion-via-3d","slug":"genpc-zero-shot-point-cloud-completion-via-3d","title":"GenPC: Zero-shot Point Cloud Completion via 3D Generative Priors","date":"2025-02-27","arxiv_id":"2502.19896","repositories_listed":0,"syntology":{"n":10,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":9,"n_pointer_only":2,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/genpc-zero-shot-point-cloud-completion-via-3d#ran","syntology_url":"https://syntology.ai/paper/2502.19896","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2502.19896"}},"official":null}},{"url":null,"slug":"imagine-with-the-teacher-complete-shape-in-a","title":"Imagine with the Teacher: Complete Shape in a Multi-View Distillation Way","date":"2025-01-31","arxiv_id":"2501.19270","repositories_listed":0,"syntology":null},{"url":null,"slug":"mambatron-efficient-cross-modal-point-cloud","title":"MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling","date":"2025-01-25","arxiv_id":"2501.16384","repositories_listed":0,"syntology":null},{"url":null,"slug":"dc-pcn-point-cloud-completion-network-with","title":"DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization","date":"2025-01-19","arxiv_id":"2501.10966","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-large-scale-point-cloud","title":"Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hyperbolic-chamfer-distance-for-point-cloud-1","title":"Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond","date":"2024-12-23","arxiv_id":"2412.17951","repositories_listed":0,"syntology":null},{"url":null,"slug":"position-aware-guided-point-cloud-completion","title":"Position-aware Guided Point Cloud Completion with CLIP Model","date":"2024-12-11","arxiv_id":"2412.08271","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-lidar-editing-with-controllable","title":"LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes","date":"2024-11-30","arxiv_id":"2412.00592","repositories_listed":0,"syntology":null},{"url":null,"slug":"pcdreamer-point-cloud-completion-through","title":"PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors","date":"2024-11-28","arxiv_id":"2411.19036","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-point-cloud-completion-are-we","title":"Revisiting Point Cloud Completion: Are We Ready For The Real-World?","date":"2024-11-26","arxiv_id":"2411.17580","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-3d-representations-from-procedural","title":"Learning 3D Representations from Procedural 3D Programs","date":"2024-11-25","arxiv_id":"2411.17467","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-performance-of-point-cloud","title":"Enhancing Performance of Point Cloud Completion Networks with Consistency Loss","date":"2024-10-09","arxiv_id":"2410.07298","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-point-cloud-completion-through","title":"Unsupervised Point Cloud Completion through Unbalanced Optimal Transport","date":"2024-10-03","arxiv_id":"2410.02671","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-to-dense-lidar-point-generation-by","title":"Sparse-to-Dense LiDAR Point Generation by LiDAR-Camera Fusion for 3D Object Detection","date":"2024-09-23","arxiv_id":"2409.14985","repositories_listed":0,"syntology":null},{"url":null,"slug":"realdiff-real-world-3d-shape-completion-using","title":"RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models","date":"2024-09-16","arxiv_id":"2409.10180","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-occ-3d-point-cloud-completion-via","title":"Diffusion-Occ: 3D Point Cloud Completion via Occupancy Diffusion","date":"2024-08-27","arxiv_id":"2408.14846","repositories_listed":0,"syntology":null},{"url":null,"slug":"duinnet-dual-modality-feature-interaction-for","title":"DuInNet: Dual-Modality Feature Interaction for Point Cloud Completion","date":"2024-07-10","arxiv_id":"2407.07374","repositories_listed":0,"syntology":null},{"url":null,"slug":"dmf-net-image-guided-point-cloud-completion","title":"DMF-Net: Image-Guided Point Cloud Completion with Dual-Channel Modality Fusion and Shape-Aware Upsampling Transformer","date":"2024-06-25","arxiv_id":"2406.17319","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-3d-shape-generation-via-diffusion","title":"Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMs","date":"2024-06-07","arxiv_id":"2406.05038","repositories_listed":0,"syntology":null},{"url":null,"slug":"3dmambacomplete-exploring-structured-state","title":"3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion","date":"2024-04-10","arxiv_id":"2404.07106","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-object-detection-and-high-resolution","title":"3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data","date":"2024-01-13","arxiv_id":"2401.06946","repositories_listed":0,"syntology":null},{"url":null,"slug":"p2m2-net-part-aware-prompt-guided-multimodal","title":"P2M2-Net: Part-Aware Prompt-Guided Multimodal Point Cloud Completion","date":"2023-12-29","arxiv_id":"2312.17611","repositories_listed":0,"syntology":null},{"url":null,"slug":"bonnbeetclouds3d-a-dataset-towards-point","title":"BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions","date":"2023-12-22","arxiv_id":"2312.14706","repositories_listed":0,"syntology":null},{"url":null,"slug":"three-filters-to-normal-revisiting","title":"Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation","date":"2023-12-13","arxiv_id":"2312.07964","repositories_listed":0,"syntology":null},{"url":null,"slug":"rotation-invariant-completion-network","title":"Rotation-Invariant Completion Network","date":"2023-08-23","arxiv_id":"2308.11979","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-text-and-image-guided-point","title":"Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model","date":"2023-08-17","arxiv_id":"2308.08754","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-resolution-cranial-defect-reconstruction","title":"High-Resolution Cranial Defect Reconstruction by Iterative, Low-Resolution, Point Cloud Completion Transformers","date":"2023-08-07","arxiv_id":"2308.03813","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-class-point-cloud-completion-networks","title":"Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images","date":"2023-07-17","arxiv_id":"2307.08535","repositories_listed":0,"syntology":null},{"url":null,"slug":"pqm-a-point-quality-evaluation-metric-for","title":"Empir3D : A Framework for Multi-Dimensional Point Cloud Assessment","date":"2023-06-06","arxiv_id":"2306.03660","repositories_listed":0,"syntology":null},{"url":null,"slug":"point-pc-point-cloud-completion-guided-by","title":"Point Cloud Completion Guided by Prior Knowledge via Causal Inference","date":"2023-05-28","arxiv_id":"2305.17770","repositories_listed":0,"syntology":null},{"url":null,"slug":"dualgenerator-information-interaction-based","title":"DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion","date":"2023-05-16","arxiv_id":"2305.09132","repositories_listed":0,"syntology":null},{"url":null,"slug":"variational-relational-point-completion-1","title":"Variational Relational Point Completion Network for Robust 3D Classification","date":"2023-04-18","arxiv_id":"2304.09131","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-the-quality-of-dental-crown-using-a","title":"Improving the quality of dental crown using a Transformer-based method","date":"2023-03-04","arxiv_id":"2303.02426","repositories_listed":0,"syntology":null},{"url":null,"slug":"are-all-point-clouds-suitable-for-completion","title":"Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion","date":"2023-03-03","arxiv_id":"2303.01804","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-point-cloud-completion-without","title":"Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"symmetric-shape-preserving-autoencoder-for","title":"Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vapcnet-viewpoint-aware-3d-point-cloud","title":"VAPCNet: Viewpoint-Aware 3D Point Cloud Completion","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-shape-compiler-a-unified-framework-for","title":"Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program","date":"2022-12-25","arxiv_id":"2212.12952","repositories_listed":0,"syntology":null},{"url":null,"slug":"pointca-evaluating-the-robustness-of-3d-point","title":"PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples","date":"2022-11-22","arxiv_id":"2211.12294","repositories_listed":0,"syntology":null},{"url":null,"slug":"prototype-aware-heterogeneous-task-for-point","title":"Prototype-Aware Heterogeneous Task for Point Cloud Completion","date":"2022-09-05","arxiv_id":"2209.01733","repositories_listed":0,"syntology":null},{"url":null,"slug":"implicit-and-efficient-point-cloud-completion","title":"Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking","date":"2022-09-01","arxiv_id":"2209.00522","repositories_listed":0,"syntology":null},{"url":"/paper/csdn-cross-modal-shape-transfer-dual","slug":"csdn-cross-modal-shape-transfer-dual","title":"CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion","date":"2022-08-01","arxiv_id":"2208.00751","repositories_listed":0,"syntology":null},{"url":null,"slug":"cp3-unifying-point-cloud-completion-by","title":"CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm","date":"2022-07-12","arxiv_id":"2207.05359","repositories_listed":0,"syntology":null},{"url":null,"slug":"completedt-point-cloud-completion-with-dense","title":"CompleteDT: Point Cloud Completion with Dense Augment Inference Transformers","date":"2022-05-30","arxiv_id":"2205.14999","repositories_listed":0,"syntology":null},{"url":null,"slug":"softpool-an-encoder-decoder-network-for-point","title":"SoftPool++: An Encoder-Decoder Network for Point Cloud Completion","date":"2022-05-08","arxiv_id":"2205.03899","repositories_listed":0,"syntology":null},{"url":null,"slug":"implicit-shape-completion-via-adversarial","title":"Implicit Shape Completion via Adversarial Shape Priors","date":"2022-04-21","arxiv_id":"2204.10060","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconstruction-aware-prior-distillation-for","title":"Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion","date":"2022-04-20","arxiv_id":"2204.09186","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-local-displacements-for-point-cloud","title":"Learning Local Displacements for Point Cloud Completion","date":"2022-03-30","arxiv_id":"2203.16600","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-a-structured-latent-space-for","title":"Learning a Structured Latent Space for Unsupervised Point Cloud Completion","date":"2022-03-29","arxiv_id":"2203.15580","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-point-cloud-completion-on","title":"Self-supervised Point Cloud Completion on Real Traffic Scenes via Scene-concerned Bottom-up Mechanism","date":"2022-03-20","arxiv_id":"2203.10569","repositories_listed":0,"syntology":null},{"url":null,"slug":"completing-partial-point-clouds-with-outliers","title":"Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation","date":"2022-03-18","arxiv_id":"2203.09772","repositories_listed":0,"syntology":null},{"url":null,"slug":"comprehensive-review-of-deep-learning-based","title":"Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis","date":"2022-03-07","arxiv_id":"2203.03311","repositories_listed":0,"syntology":null},{"url":null,"slug":"point-cloud-completion-on-structured-feature","title":"Point cloud completion via structured feature maps using a feedback network","date":"2022-02-17","arxiv_id":"2202.08583","repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-point-cloud-completion-with-pose","title":"Temporal Point Cloud Completion with Pose Disturbance","date":"2022-02-07","arxiv_id":"2202.03084","repositories_listed":0,"syntology":null},{"url":null,"slug":"srpcn-structure-retrieval-based-point","title":"SRPCN: Structure Retrieval based Point Completion Network","date":"2022-02-06","arxiv_id":"2202.02669","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-fidelity-point-cloud-completion-with-low","title":"High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling","date":"2021-12-21","arxiv_id":"2112.11271","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-point-cloud-reconstruction-1","title":"Deep Point Cloud Reconstruction","date":"2021-11-23","arxiv_id":"2111.11704","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-guided-deformation-for-point-cloud","title":"Graph-Guided Deformation for Point Cloud Completion","date":"2021-11-11","arxiv_id":"2112.01840","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-point-cloud-completion-with-geometric","title":"3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation","date":"2021-09-21","arxiv_id":"2109.10161","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-efficient-deep-learning-approach-using","title":"An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving","date":"2021-09-01","arxiv_id":"2109.02629","repositories_listed":0,"syntology":null},{"url":null,"slug":"carvenet-carving-point-block-for-complex-3d","title":"CarveNet: Carving Point-Block for Complex 3D Shape Completion","date":"2021-07-28","arxiv_id":"2107.13452","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-farthest-point-sampling-in-point-wise","title":"Task-Aware Sampling Layer for Point-Wise Analysis","date":"2021-07-09","arxiv_id":"2107.04291","repositories_listed":0,"syntology":null},{"url":"/paper/view-guided-point-cloud-completion","slug":"view-guided-point-cloud-completion","title":"View-Guided Point Cloud Completion","date":"2021-04-12","arxiv_id":"2104.05666","repositories_listed":0,"syntology":null},{"url":null,"slug":"rfnet-recurrent-forward-network-for-dense","title":"RFNet: Recurrent Forward Network for Dense Point Cloud Completion","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/pc-rgnn-point-cloud-completion-and-graph","slug":"pc-rgnn-point-cloud-completion-and-graph","title":"PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection","date":"2020-12-18","arxiv_id":"2012.10412","repositories_listed":0,"syntology":null},{"url":null,"slug":"patchnets-patch-based-generalizable-deep","title":"PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations","date":"2020-08-04","arxiv_id":"2008.01639","repositories_listed":0,"syntology":null},{"url":null,"slug":"point-cloud-completion-by-skip-attention","title":"Point Cloud Completion by Skip-attention Network with Hierarchical Folding","date":"2020-05-08","arxiv_id":"2005.03871","repositories_listed":0,"syntology":null},{"url":null,"slug":"3ddepthnet-point-cloud-guided-depth","title":"3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image","date":"2020-03-20","arxiv_id":"2003.09175","repositories_listed":0,"syntology":null},{"url":null,"slug":"inferring-point-clouds-from-single-monocular","title":"Inferring Point Clouds from Single Monocular Images by Depth Intermediation","date":"2018-12-04","arxiv_id":"1812.01402","repositories_listed":0,"syntology":null},{"url":null,"slug":"procedural-editing-of-3d-building-point","title":"Procedural Editing of 3D Building Point Clouds","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"63645ee5fcda3d8e82e6c1e140a337b20b40cbe200129c41d70a9070bb94e3f7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}