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Robust Watertight Manifold Surface Generation Method for ShapeNet Models

arXiv 1802.01698 ↗First posted 5 Feb 2018cs.CGcited by 58

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Abstract (arXiv)

In this paper, we describe a robust algorithm for 2-Manifold generation of various kinds of ShapeNet Models. The input of our pipeline is a triangle mesh, with a set of vertices and triangular faces. The output of our pipeline is a 2-Manifold with vertices roughly uniformly distributed on the geometry surface. Our algorithm uses an octree to represent the original mesh, and construct the surface by isosurface extraction. Finally, we project the vertices to the original mesh to achieve high precision. As a result, our method can be adopted efficiently to all ShapeNet models with the guarantee of correct 2-Manifold topology.

Key facts. Cited by 58 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Feb 2018.

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Citing papers per year: 2021: 10; 2022: 11; 2023: 8; 2024: 13; 2025: 12; 2026: 4.

58 papers.

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  1. 2024CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assetscited by 444
  2. 2021Shape As Points: A Differentiable Poisson Solvercited by 186
  3. 2021LASR: Learning Articulated Shape Reconstruction from a Monocular Videocited by 115
  4. 2022POCO: Point Convolution for Surface Reconstructioncited by 91
  5. 2023CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objectscited by 64
  6. 2022Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Searchcited by 61
  7. 2021Subdivision-Based Mesh Convolution Networkscited by 60
  8. 2022Self-supervised Neural Articulated Shape and Appearance Modelscited by 51
  9. 2023Mosaic-SDF for 3D Generative Modelscited by 48
  10. 2021Deep Implicit Surface Point Prediction Networkscited by 40
  11. 2022Density-preserving Deep Point Cloud Compressioncited by 39
  12. 2021SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Datacited by 38
38 more
  1. 2021DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinatescited by 36
  2. 2022SPAGHETTI: Editing Implicit Shapes Through Part Aware Generationcited by 28
  3. 2023CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulationcited by 26
  4. 2023Ghost on the Shell: An Expressive Representation of General 3D Shapescited by 24
  5. 2024SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generationcited by 24
  6. 2024UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusioncited by 23
  7. 2022NeuForm: Adaptive Overfitting for Neural Shape Editingcited by 18
  8. 2025Pandora3D: A Comprehensive Framework for High-Quality 3D Shape and Texture Generationcited by 14
  9. 2025Geometry in Style: 3D Stylization via Surface Normal Deformationcited by 14
  10. 2021Deep Hybrid Self-Prior for Full 3D Mesh Generationcited by 13
  11. 2024NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generationcited by 13
  12. 2025InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsingcited by 13
  13. 2024S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Videocited by 11
  14. 2022Neural Implicit Dictionary via Mixture-of-Expert Trainingcited by 9
  15. 2024Direct and Adaptable Mesh-Gaussian Scene Reconstruction from Multi-View Imagescited by 9
  16. 2022TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generationcited by 8
  17. 2023SENS: Part-Aware Sketch-based Implicit Neural Shape Modelingcited by 8
  18. 2024CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objectscited by 8
  19. 2023Unsupervised 3D Shape Reconstruction by Part Retrieval and Assemblycited by 7
  20. 2024LAM3D: Large Image-Point-Cloud Alignment Model for 3D Reconstruction from Single Imagecited by 7
  21. 2021Scalable Surface Reconstruction with Delaunay-Graph Neural Networkscited by 6
  22. 2023Explorable Mesh Deformation Subspaces from Unstructured Generative Modelscited by 6
  23. 2022PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Paintingcited by 5
  24. 2021The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inferencecited by 4
  25. 2025GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherencecited by 4
  26. 2024Spatial and Surface Correspondence Field for Interaction Transfercited by 3
  27. 2025MaskPlanner: Learning-Based Object-Centric Motion Generation from 3D Point Cloudscited by 3
  28. 2024Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completioncited by 2
  29. 2025SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generationcited by 2
  30. 2025Three-dimensional Deep Shape Optimization with a Limited Datasetcited by 2
  31. 2021iSeg3D: An Interactive 3D Shape Segmentation Toolcited by 1
  32. 2022Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplaciancited by 1
  33. 2022SHRED: 3D Shape Region Decomposition with Learned Local Operationscited by 1
  34. 2024LBONet: Supervised Spectral Descriptors for Shape Analysiscited by 1
  35. 2024NeRF-Texture: Synthesizing Neural Radiance Field Texturescited by 1
  36. 2025Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Frameworkcited by 1
  37. 2026Deep Feature Deformation Weightscited by 1
  38. 2023Learning-Based Biharmonic Augmentation for Point Cloud Classificationcited by 0

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