mlsanityData to 14 Oct 2026

NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support

arXiv 2305.17134 ↗First posted 26 May 2023cs.CVcited by 25

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Abstract (arXiv)

We present a method for generating high-quality watertight manifold meshes from multi-view input images. Existing volumetric rendering methods are robust in optimization but tend to generate noisy meshes with poor topology. Differentiable rasterization-based methods can generate high-quality meshes but are sensitive to initialization. Our method combines the benefits of both worlds; we take the geometry initialization obtained from neural volumetric fields, and further optimize the geometry as well as a compact neural texture representation with differentiable rasterizers. Through extensive experiments, we demonstrate that our method can generate accurate mesh reconstructions with faithful appearance that are comparable to previous volume rendering methods while being an order of magnitude faster in rendering. We also show that our generated mesh and neural texture reconstruction is compatible with existing graphics pipelines and enables downstream 3D applications such as simulation. Project page: https://sarahweiii.github.io/neumanifold/

Key facts. Cited by 25 papers in the map (data through 14 Oct 2026). Builds on 58 of its 96 references that are in the map. First posted on arXiv 26 May 2023.

Builds on

58 of 96 references.

References · 58

  1. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  2. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
  3. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  4. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
  5. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,712
  6. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  7. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,584
  8. 2022TensoRF: Tensorial Radiance Fieldscited by 1,280
  9. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,205
  10. 2021Volume Rendering of Neural Implicit Surfacescited by 996
  11. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 964
  12. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 861
38 more
  1. 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 788
  2. 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 740
  3. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 724
  4. 2020pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesiscited by 708
  5. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 703
  6. 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
  7. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 646
  8. 2021Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fieldscited by 575
  9. 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
  10. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 460
  11. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  12. 2020Modular Primitives for High-Performance Differentiable Renderingcited by 441
  13. 2018DeepVoxels: Learning Persistent 3D Feature Embeddingscited by 405
  14. 2021Extracting Triangular 3D Models, Materials, and Lighting From Imagescited by 366
  15. 2021PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relightingcited by 335
  16. 2022NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstructioncited by 314
  17. 2022MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architecturescited by 311
  18. 2021StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generationcited by 289
  19. 2021BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Renderingcited by 229
  20. 2023BakedSDF: Meshing Neural SDFs for Real-Time View Synthesiscited by 221
  21. 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 217
  22. 2020Neural Reflectance Fields for Appearance Acquisitioncited by 196
  23. 2021GeoNeRF: Generalizing NeRF with Geometry Priorscited by 196
  24. 2020BOP Challenge 2020 on 6D Object Localizationcited by 193
  25. 2018BA-Net: Dense Bundle Adjustment Networkcited by 175
  26. 2022Modeling Indirect Illumination for Inverse Renderingcited by 168
  27. 2019Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awarenesscited by 151
  28. 2022ARF: Artistic Radiance Fieldscited by 147
  29. 2022NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editingcited by 142
  30. 2020MeshSDF: Differentiable Iso-Surface Extractioncited by 112
  31. 2022IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Imagescited by 111
  32. 2023Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinementcited by 106
  33. 2022NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstructioncited by 100
  34. 2020Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Imagescited by 98
  35. 2021NeuTex: Neural Texture Mapping for Volumetric Neural Renderingcited by 98
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  37. 2021Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Renderingcited by 71
  38. 2022Neural Dual Contouringcited by 71

50 most cited of 58 All 58 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 12; 2025: 6; 2026: 5.

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  1. 2024MeshLRM: Large Reconstruction Model for High-Quality Meshescited by 139
  2. 2024Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scalecited by 89
  3. 2025SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modelingcited by 79
  4. 20243DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priorscited by 74
  5. 2024MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Modelcited by 55
  6. 2023ZeroRF: Fast Sparse View 360deg Reconstruction with Zero Pretrainingcited by 24
  7. 2024Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenescited by 22
  8. 2025VertexRegen: Mesh Generation with Continuous Level of Detailcited by 16
  9. 2024GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinementcited by 14
  10. 2023Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulationcited by 11
  11. 2024DMesh++: An Efficient Differentiable Mesh for Complex Shapescited by 11
  12. 2024DMesh: A Differentiable Mesh Representationcited by 9
13 more
  1. 2024ARM: Appearance Reconstruction Model for Relightable 3D Generationcited by 7
  2. 2025Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Datacited by 7
  3. 2025DiMeR: Disentangled Mesh Reconstruction Modelcited by 6
  4. 2024SimEndoGS: Efficient Data-driven Scene Simulation using Robotic Surgery Videos via Physics-embedded 3D Gaussianscited by 3
  5. 2024Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Viewscited by 2
  6. 2024Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Modelscited by 1
  7. 2025OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real Worldcited by 1
  8. 2025Mesh RAG: Retrieval Augmentation for Autoregressive Mesh Generationcited by 1
  9. 2026Dehallu3D: Hallucination-Mitigated 3D Generation from Single Image via Cyclic View Consistency Refinementcited by 0
  10. 2026D-Prism: Differentiable Primitives for Structured Dynamic Modelingcited by 0
  11. 2026High-Fidelity Surface Splatting-Based 3D Reconstruction from Multi-View Imagescited by 0
  12. 2026NeuMesh++: Towards Versatile and Efficient Volumetric Editing with Disentangled Neural Mesh-based Implicit Fieldcited by 0
  13. 2026Meshtryoshka: Differentiable Rendering of Real-World Scenes via Mesh Rasterizationcited by 0