mlsanityData to 7 Oct 2026

VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction

arXiv 2212.08067 ↗First posted 15 Dec 2022cs.CVcited by 61

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Abstract (arXiv)

The success of the Neural Radiance Fields (NeRF) in novel view synthesis has inspired researchers to propose neural implicit scene reconstruction. However, most existing neural implicit reconstruction methods optimize per-scene parameters and therefore lack generalizability to new scenes. We introduce VolRecon, a novel generalizable implicit reconstruction method with Signed Ray Distance Function (SRDF). To reconstruct the scene with fine details and little noise, VolRecon combines projection features aggregated from multi-view features, and volume features interpolated from a coarse global feature volume. Using a ray transformer, we compute SRDF values of sampled points on a ray and then render color and depth. On DTU dataset, VolRecon outperforms SparseNeuS by about 30% in sparse view reconstruction and achieves comparable accuracy as MVSNet in full view reconstruction. Furthermore, our approach exhibits good generalization performance on the large-scale ETH3D benchmark.

Key facts. Cited by 61 papers in the map (data through 7 Oct 2026). Builds on 41 of its 68 references that are in the map. First posted on arXiv 15 Dec 2022.

Builds on

41 of 68 references.

References · 41

  1. 2017Attention Is All You Needcited by 59,932
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  4. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  5. 2016Feature Pyramid Networks for Object Detectioncited by 5,021
  6. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  7. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,682
  8. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,037
  9. 2020Transformers are RNNs: Fast Autoregressive Transformers with Linear Attentioncited by 1,979
  10. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  11. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  12. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
29 more
  1. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
  2. 2021Volume Rendering of Neural Implicit Surfacescited by 990
  3. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
  4. 2016Unsupervised Monocular Depth Estimation with Left-Right Consistencycited by 819
  5. 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 780
  6. 2020Convolutional Occupancy Networkscited by 760
  7. 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 735
  8. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 720
  9. 2020pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesiscited by 708
  10. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
  11. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 643
  12. 2022MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstructioncited by 467
  13. 2019Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matchingcited by 414
  14. 2019Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inferencecited by 252
  15. 2021NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Videocited by 241
  16. 2022Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstructioncited by 211
  17. 2020Atlas: End-to-End 3D Scene Reconstruction from Posed Imagescited by 206
  18. 2020PatchmatchNet: Learned Multi-View Patchmatch Stereocited by 204
  19. 2021NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereocited by 191
  20. 2022SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Viewscited by 175
  21. 2021Improving neural implicit surfaces geometry with patch warpingcited by 136
  22. 2022NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priorscited by 125
  23. 2019Multi-Scale Geometric Consistency Guided Multi-View Stereocited by 105
  24. 2020Visibility-aware Multi-view Stereo Networkcited by 97
  25. 2020DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusioncited by 68
  26. 2021IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereocited by 56
  27. 2022Critical Regularizations for Neural Surface Reconstruction in the Wildcited by 51
  28. 2022Generalizable Neural Radiance Fields for Novel View Synthesis with Transformercited by 21
  29. 2022Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)cited by 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 14; 2024: 27; 2025: 13; 2026: 7.

61 papers.

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  1. 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 555
  2. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
  3. 2023PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Predictioncited by 165
  4. 2023ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusioncited by 65
  5. 2024MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Modelcited by 55
  6. 2024SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstructioncited by 52
  7. 2023NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Viewscited by 36
  8. 2024SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Viewscited by 35
  9. 2023ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstructioncited by 30
  10. 2025FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistencycited by 30
  11. 2023UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflectionscited by 29
  12. 2024G3R: Gradient Guided Generalizable Reconstructioncited by 29
38 more
  1. 2025Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Viewscited by 25
  2. 2025Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Surveycited by 23
  3. 2023Fast View Synthesis of Casual Videos with Soup-of-Planescited by 22
  4. 2024UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Setscited by 22
  5. 2024MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Viewscited by 21
  6. 2024SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearizationcited by 19
  7. 2023C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstructioncited by 18
  8. 2024Learning-based Multi-View Stereo: A Surveycited by 18
  9. 2024GenS: Generalizable Neural Surface Reconstruction from Multi-View Imagescited by 15
  10. 2025MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstructioncited by 15
  11. 2024SolidGS: Consolidating Gaussian Surfel Splatting for Sparse-View Surface Reconstructioncited by 10
  12. 2025SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistenciescited by 9
  13. 2023O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Modelcited by 8
  14. 2024Normal-guided Detail-Preserving Neural Implicit Function for High-Fidelity 3D Surface Reconstructioncited by 8
  15. 2024Spurfies: Sparse Surface Reconstruction using Local Geometry Priorscited by 8
  16. 2024PVP-Recon: Progressive View Planning via Warping Consistency for Sparse-View Surface Reconstructioncited by 8
  17. 2024CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoors Object Detection from Multi-view Imagescited by 7
  18. 2025SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splattingcited by 7
  19. 2025Sparfels: Fast Reconstruction from Sparse Unposed Imagerycited by 7
  20. 2024UWStereo: A Large Synthetic Dataset for Underwater Stereo Matchingcited by 6
  21. 2025MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian Splattingcited by 6
  22. 2024Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereocited by 5
  23. 2024DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assemblycited by 5
  24. 20246Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstructioncited by 5
  25. 2024GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learningcited by 5
  26. 2025SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splattingcited by 5
  27. 2023A Simple Framework for 3D Occupancy Estimation in Autonomous Drivingcited by 4
  28. 2024Neural Surface Reconstruction from Sparse Views Using Epipolar Geometrycited by 4
  29. 2024Ray-Distance Volume Rendering for Neural Scene Reconstructioncited by 4
  30. 2024Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstructioncited by 4
  31. 2024Generalizable Neural Human Renderercited by 3
  32. 2024EG-HumanNeRF: Efficient Generalizable Human NeRF Utilizing Human Prior for Sparse Viewcited by 3
  33. 2025NeuGrasp: Generalizable Neural Surface Reconstruction with Background Priors for Material-Agnostic Object Grasp Detectioncited by 3
  34. 2023OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fieldscited by 2
  35. 2023PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstructioncited by 2
  36. 2026SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstructioncited by 2
  37. 2023DeepShaRM: Multi-View Shape and Reflectance Map Recovery Under Unknown Lightingcited by 1
  38. 2024LucidFusion: Reconstructing 3D Gaussians with Arbitrary Unposed Imagescited by 1

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