Point Cloud Surface Reconstruction

Overview

The field studies how to infer a usable surface from 3D points collected by sensors, scans, or multiple images, enabling tasks such as measurement, mapping, and object modeling. Common approaches include implicit signed or unsigned distance fields, learned and generative shape models, and explicit mesh methods such as Poisson reconstruction and ball pivoting; some also use visibility, normals, or temporal observations as constraints. Methods are evaluated on object and scene benchmarks, as well as LiDAR, photogrammetry, and dynamic-scanning settings, using measures of geometric accuracy, completeness, smoothness, and runtime. A central tension is reconstructing fine or thin geometry from sparse, noisy, and occluded data without sacrificing robustness, scalability, or computational efficiency.

Latest papers

CardsList

35 papers8 papers in the last four weeks, up 100% on the four weeks before. 0.0% of all new papers.

  1. A Singularity Avoiding Track Model for Race Car Optimization

    Oct 27, 2026Adwait Verulkar, Behzad Danaei, Srikanth Sivaramakrishnan +1Curvature-Aware OptimizationPoint Cloud Surface Reconstruction

  2. Neural Implicit Energy Optimization for LiDAR Mapping

    Oct 20, 2026Hrishikesh Viswanath, Md Ashiqur Rahman, Chi Lin +2Large-Scale 3D ReconstructionPoint Cloud Surface Reconstruction

  3. Reliability-Aware Reconstruction of V-Shaped Surfaces with a Low-Cost Multi-Zone SPAD Sensor

    Oct 20, 2026Yohanssen PratamaDepth EstimationPoint Cloud Surface Reconstruction

  4. Surface Reconstruction from Range Scans Under Visibility Constraints

    Oct 13, 2026Gabriel Lenain, Edmond Boyer, Jean Ponce3D ReconstructionPoint Cloud Surface Reconstruction

  5. PCAsplat: Gaussian Splatting with Local PCA Regularization

    Oct 7, 2026Vitor Matias, Filipe Nascimento, Kiyohiro Nakayama +63D Gaussian SplattingPoint Cloud Surface Reconstruction

  6. R1A-PC: Physics-Guided Electromagnetic Inversion of Three-Dimensional Human Point Clouds in Complex Static Environments

    Oct 4, 2026Xudong Yuan, Ruyun Xu, Jingtai Yang +13D ReconstructionPoint Cloud Surface Reconstruction

  7. CoRe-VLA: Preserving Cross-View Coordination in VLAs under Camera Shifts

    Sep 29, 2026Tianhang Pan, Xuanhao Wang, Yiwen Pang +4Point Cloud Surface ReconstructionVision-Language-Action Models

  8. Projective Normal Fields: A Convex Optimization Method for Constructing Smooth UDFs

    Sep 28, 2026Jiayi Kong, Chen Zong, Fei Hou +33D ReconstructionSurface Normal Estimation

  9. Point Diffusion Mamba: Unified Diffusion-State-Space Modeling for Single-View 3D Reconstruction under Data Scarcity

    Sep 22, 2026Wei Zhou, Xinzhe Shi, Xingxing Hao +43D ReconstructionSingle-View 3D Reconstruction

  10. NeuSOGA3D: A Neuro-Symbolic Framework for Explainable 3D Geometric Reconstruction

    Sep 17, 2026Qingde Li, Qingqi Hong, Zihan Li +13D ReconstructionPoint Cloud Surface Reconstruction

  11. Gaussian Linear Functional Manifold Method for Massive Point Cloud Data

    Sep 4, 2026Hong Zhao, Tonglin Zhang, Baijian Yang +2Point Cloud Surface Reconstruction3D Reconstruction

  12. Learning-Based Reconstruction Attacks on Coordinate-Obfuscated Point Clouds

    Sep 2, 2026Mohammad Waquas Usmani, Susmit Shannigrahi, Michael ZinkPoint Cloud Surface Reconstruction

  13. 3D Point Cloud from Close-Range Photogrammetry for Defect Characterisation of Rubberised Concrete

    Aug 21, 2026Jiacheng Liu, Mohammed Alnahhal, Ailar Hajimohammadi +33D ReconstructionPoint Cloud Surface Reconstruction

  14. Point-Based 3D Reconstruction from Sparse Views under Known Illumination

    Aug 20, 2026Magnus Kaufmann Gjerde, Joakim Bruslund Haurum, Jeppe Revall Frisvad +3Sparse-View 3D ReconstructionPoint Cloud Surface Reconstruction

  15. Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds

    Jul 30, 2026Hongbo Li, Haikuan Zhu, Xiaohu Guo +33D ReconstructionPoint Cloud Learning

  16. CoGoal3D: Collaborative 3D Object Detection with 3D-Aware Fusion and Refinement

    Jul 21, 2026Zhihao Yang, Zhiyu Xiang, Peng Xu +5Point Cloud Surface Reconstruction3D Object Detection

  17. Points as Tori: Fast Pointwise Signed Distance for Point Clouds

    Jul 18, 2026Nicole Feng, Ioannis Gkioulekas, Keenan CraneSigned Distance Functions3D Reconstruction

  18. IBPA: Real-time Free-form Manifold Mesh Reconstruction via Incremental Ball Pivoting with Integrated Hole Detection

    Jul 13, 2026Mauhing Yip, Mohit Singh, Kostas Alexis +23D Mesh GenerationStreaming 3D Reconstruction

  19. City-Level 3D Surface Reconstruction with Viewpoint Orientation Partitioning and Scene Completion

    Jul 4, 2026Liang Han, Wenyuan Zhang, Junsheng Zhou +23D Gaussian Splatting3D Reconstruction

  20. Learned Radius Estimation for UDF-Based Point Cloud Reconstruction

    Jun 17, 2026Eito Ogawa, Hiroshi Watanabe3D ReconstructionPoint Cloud Surface Reconstruction

  21. Point Cloud Upsampling through Patch-based Frequency Superposition

    Jun 12, 2026Marina Ritthaler, Azhar Hussian, Vasileios Belagiannis +13D ReconstructionPoint Cloud Learning

  22. Hierarchical Space Partition for Surface Reconstruction

    Jun 3, 2026Minjie Tang, Xiangfei Li3D Mesh Generation3D Reconstruction

  23. DisFlow: Scene Flow from Distance Field for Object Pose, Velocity Tracking, and Dynamic Object Reconstruction

    Jun 1, 2026Lan Wu, Sheila Sutjipto, Jennifer Wakulicz +1Scene Flow EstimationVisual Object Tracking

  24. ParCo-SDF: Learning Prior-Free Partial-to-Complete Signed Distance Fields of Deformable Objects

    May 28, 2026Deokmin Hwang, Minseok Song, Daehyung ParkImplicit Neural Representations3D Reconstruction

  25. Metric--Phase Fields: Decoupling Distance and Sign for Thin-Structure Reconstruction from Unoriented Point Clouds

    May 25, 2026Jiayi Kong, Xuhui Chen, Chen Zong +4Signed Distance Functions3D Reconstruction

  26. Medial Axis Aware Learning of Signed Distance Functions

    Apr 15, 2026Samuel Weidemaier, Christoph Norden-Smoch, Martin RumpfSigned Distance FunctionsPoint Cloud Surface Reconstruction

  27. RAIN-FIT: Learning of Fitting Surfaces and Noise Distribution from Large Data Sets

    Apr 3, 2026Omar M. Sleem, Sahand Kiani, Constantino M. LagoaPoint Cloud Surface Reconstruction3D Reconstruction

  28. Review and Evaluation of Point-Cloud based Leaf Surface Reconstruction Methods for Agricultural Applications

    Apr 2, 2026Arif Ahmed, Parikshit MainiPoint Cloud Surface Reconstruction3D Reconstruction

  29. Neural Reconstruction of LiDAR Point Clouds under Jamming Attacks via Full-Waveform Representation and Simultaneous Laser Sensing

    Apr 1, 2026Ryo Yoshida, Takami Sato, Wenlun Zhang +7Point Cloud LearningPoint Cloud Surface Reconstruction