mlsanityData to 7 Oct 2026

NeRF++: Analyzing and Improving Neural Radiance Fields

arXiv 2010.07492 ↗First posted 15 Oct 2020cs.CVcited by 857

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Cited by 24 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Neural Radiance Fields (NeRF) achieve impressive view synthesis results for a variety of capture settings, including 360 capture of bounded scenes and forward-facing capture of bounded and unbounded scenes. NeRF fits multi-layer perceptrons (MLPs) representing view-invariant opacity and view-dependent color volumes to a set of training images, and samples novel views based on volume rendering techniques. In this technical report, we first remark on radiance fields and their potential ambiguities, namely the shape-radiance ambiguity, and analyze NeRF's success in avoiding such ambiguities. Second, we address a parametrization issue involved in applying NeRF to 360 captures of objects within large-scale, unbounded 3D scenes. Our method improves view synthesis fidelity in this challenging scenario. Code is available at https://github.com/Kai-46/nerfplusplus.

Key facts. Cited by 857 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Oct 2020.

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Citing papers per year: 2021: 84; 2022: 161; 2023: 279; 2024: 198; 2025: 109; 2026: 26.

857 papers.

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  1. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  2. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  3. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  4. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,526
  5. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
  6. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
  7. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,144
  8. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,061
  9. 2021Volume Rendering of Neural Implicit Surfacescited by 990
  10. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
  11. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
  12. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 720
38 more
  1. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  2. 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 667
  3. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 661
  4. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 643
  5. 2021BARF: Bundle-Adjusting Neural Radiance Fieldscited by 641
  6. 2021NICE-SLAM: Neural Implicit Scalable Encoding for SLAMcited by 586
  7. 2023HexPlane: A Fast Representation for Dynamic Scenescited by 582
  8. 2021Neural Fields in Visual Computing and Beyondcited by 539
  9. 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
  10. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 510
  11. 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
  12. 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
  13. 2021StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesiscited by 477
  14. 2023Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splattingcited by 470
  15. 2022MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstructioncited by 467
  16. 2021Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesiscited by 464
  17. 2023Neuralangelo: High-Fidelity Neural Surface Reconstructioncited by 464
  18. 2021Dynamic View Synthesis from Dynamic Monocular Videocited by 420
  19. 2021In-Place Scene Labelling and Understanding with Implicit Scene Representationcited by 411
  20. 2021Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughscited by 396
  21. 2021Advances in Neural Renderingcited by 365
  22. 2021Extracting Triangular 3D Models, Materials, and Lighting From Imagescited by 363
  23. 2022Fast Dynamic Radiance Fields with Time-Aware Neural Voxelscited by 344
  24. 2024GS-LRM: Large Reconstruction Model for 3D Gaussian Splattingcited by 344
  25. 2021PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relightingcited by 332
  26. 2021Text2Mesh: Text-Driven Neural Stylization for Meshescited by 332
  27. 2023GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splattingcited by 331
  28. 2022MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architecturescited by 308
  29. 2023Text-to-3D using Gaussian Splattingcited by 299
  30. 2023UniSim: A Neural Closed-Loop Sensor Simulatorcited by 294
  31. 2021StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generationcited by 289
  32. 20223D Neural Field Generation using Triplane Diffusioncited by 274
  33. 2021Urban Radiance Fieldscited by 263
  34. 2022Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representationcited by 243
  35. 2022NoPe-NeRF: Optimising Neural Radiance Field with No Pose Priorcited by 235
  36. 2021DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networkscited by 232
  37. 2021Learning Object-Compositional Neural Radiance Field for Editable Scene Renderingcited by 228
  38. 2021BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Renderingcited by 228

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