mlsanityData to 7 Oct 2026

Nerfstudio: A Modular Framework for Neural Radiance Field Development

arXiv 2302.04264 ↗First posted 8 Feb 2023cs.CV cs.GRcited by 596

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Cited by 47 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Neural Radiance Fields (NeRF) are a rapidly growing area of research with wide-ranging applications in computer vision, graphics, robotics, and more. In order to streamline the development and deployment of NeRF research, we propose a modular PyTorch framework, Nerfstudio. Our framework includes plug-and-play components for implementing NeRF-based methods, which make it easy for researchers and practitioners to incorporate NeRF into their projects. Additionally, the modular design enables support for extensive real-time visualization tools, streamlined pipelines for importing captured in-the-wild data, and tools for exporting to video, point cloud and mesh representations. The modularity of Nerfstudio enables the development of Nerfacto, our method that combines components from recent papers to achieve a balance between speed and quality, while also remaining flexible to future modifications. To promote community-driven development, all associated code and data are made publicly available with open-source licensing at https://nerf.studio.

Key facts. Cited by 596 papers in the map (data through 7 Oct 2026). Builds on 37 of its 67 references that are in the map. First posted on arXiv 8 Feb 2023.

Builds on

37 of 67 references.

References · 37

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  3. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  4. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  5. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  6. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  7. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  8. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
  9. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
  10. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
  11. 2020NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collectionscited by 1,230
  12. 2021Volume Rendering of Neural Implicit Surfacescited by 990
25 more
  1. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
  2. 2020Neural Sparse Voxel Fieldscited by 959
  3. 2020Accelerating 3D Deep Learning with PyTorch3Dcited by 781
  4. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
  5. 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
  6. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  7. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 643
  8. 2021BARF: Bundle-Adjusting Neural Radiance Fieldscited by 641
  9. 2021NICE-SLAM: Neural Implicit Scalable Encoding for SLAMcited by 586
  10. 2021Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fieldscited by 569
  11. 2021Neural Fields in Visual Computing and Beyondcited by 539
  12. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 510
  13. 2021Baking Neural Radiance Fields for Real-Time View Synthesiscited by 465
  14. 2021NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Imagescited by 336
  15. 2014Caffe: Convolutional Architecture for Fast Feature Embeddingcited by 287
  16. 2021DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networkscited by 232
  17. 2019Kornia: an Open Source Differentiable Computer Vision Library for PyTorchcited by 231
  18. 2021Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulationcited by 204
  19. 2021Vision-Only Robot Navigation in a Neural Radiance Worldcited by 153
  20. 2022ARF: Artistic Radiance Fieldscited by 147
  21. 2022NerfAcc: A General NeRF Acceleration Toolboxcited by 73
  22. 2022Learning Multi-Object Dynamics with Compositional Neural Radiance Fieldscited by 63
  23. 2022NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fieldscited by 41
  24. 2022The One Where They Reconstructed 3D Humans and Environments in TV Showscited by 30
  25. 2022NeAT: Neural Adaptive Tomographycited by 11

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 111; 2024: 226; 2025: 176; 2026: 83.

596 papers.

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  1. 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 747
  2. 2023LERF: Language Embedded Radiance Fieldscited by 538
  3. 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 514
  4. 2023Instruct-NeRF2NeRF: Editing 3D Scenes with Instructionscited by 482
  5. 2023PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamicscited by 368
  6. 2025GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Controlcited by 325
  7. 2024Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splattingcited by 218
  8. 2023Project Aria: A New Tool for Egocentric Multi-Modal AI Researchcited by 201
  9. 2024CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussianscited by 190
  10. 2023MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyondcited by 185
  11. 2023MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Drivingcited by 170
  12. 2025Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Modelscited by 160
38 more
  1. 2023SUDS: Scalable Urban Dynamic Scenescited by 151
  2. 2024WildGaussians: 3D Gaussian Splatting in the Wildcited by 150
  3. 2023NeuRAD: Neural Rendering for Autonomous Drivingcited by 146
  4. 2024HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splattingcited by 141
  5. 2024DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshingcited by 136
  6. 2024Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulationcited by 135
  7. 2023Distilled Feature Fields Enable Few-Shot Language-Guided Manipulationcited by 130
  8. 2023F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectoriescited by 118
  9. 2024GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editingcited by 114
  10. 2024Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splatscited by 111
  11. 2024RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusioncited by 109
  12. 2024GARField: Group Anything with Radiance Fieldscited by 108
  13. 2024textitS3Gaussian: Self-Supervised Street Gaussians for Autonomous Drivingcited by 105
  14. 2023Language Embedded Radiance Fields for Zero-Shot Task-Oriented Graspingcited by 91
  15. 2023NerfAcc: Efficient Sampling Accelerates NeRFscited by 90
  16. 2023Bayes' Rays: Uncertainty Quantification for Neural Radiance Fieldscited by 90
  17. 2024HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Drivingcited by 84
  18. 2023Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFscited by 76
  19. 2024Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizercited by 73
  20. 2024How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Surveycited by 72
  21. 2024ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fieldscited by 68
  22. 2023ENVIDR: Implicit Differentiable Renderer with Neural Environment Lightingcited by 63
  23. 2023NeRFiller: Completing Scenes via Generative 3D Inpaintingcited by 62
  24. 2024FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descentcited by 61
  25. 2023Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedracited by 57
  26. 2024ViewDiff: 3D-Consistent Image Generation with Text-to-Image Modelscited by 57
  27. 2024Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstructioncited by 51
  28. 2023Watch Your Steps: Local Image and Scene Editing by Text Instructionscited by 50
  29. 2024EgoLifter: Open-world 3D Segmentation for Egocentric Perceptioncited by 46
  30. 2024Physical Property Understanding from Language-Embedded Feature Fieldscited by 45
  31. 2024SceneTeller: Language-to-3D Scene Generationcited by 43
  32. 2024BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modelingcited by 42
  33. 2024Gaga: Group Any Gaussians via 3D-aware Memory Bankcited by 40
  34. 2024SceneCraft: Layout-Guided 3D Scene Generationcited by 40
  35. 2023Deceptive-NeRF/3DGS: Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstructioncited by 39
  36. 2024WaterSplatting: Fast Underwater 3D Scene Reconstruction Using Gaussian Splattingcited by 39
  37. 2025Matrix3D: Large Photogrammetry Model All-in-Onecited by 39
  38. 2024Aria Everyday Activities Datasetcited by 38

50 most cited of 596 All 596 (JSON)