mlsanityData to 7 Oct 2026

EfficientNeRF: Efficient Neural Radiance Fields

arXiv 2206.00878 ↗First posted 2 Jun 2022cs.CVcited by 110

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Abstract (arXiv)

Neural Radiance Fields (NeRF) has been wildly applied to various tasks for its high-quality representation of 3D scenes. It takes long per-scene training time and per-image testing time. In this paper, we present EfficientNeRF as an efficient NeRF-based method to represent 3D scene and synthesize novel-view images. Although several ways exist to accelerate the training or testing process, it is still difficult to much reduce time for both phases simultaneously. We analyze the density and weight distribution of the sampled points then propose valid and pivotal sampling at the coarse and fine stage, respectively, to significantly improve sampling efficiency. In addition, we design a novel data structure to cache the whole scene during testing to accelerate the rendering speed. Overall, our method can reduce over 88% of training time, reach rendering speed of over 200 FPS, while still achieving competitive accuracy. Experiments prove that our method promotes the practicality of NeRF in the real world and enables many applications.

Key facts. Cited by 110 papers in the map (data through 7 Oct 2026). Builds on 27 of its 38 references that are in the map. First posted on arXiv 2 Jun 2022.

Builds on

27 of 38 references.

References · 27

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  4. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
  5. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
  6. 20194D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networkscited by 1,201
  7. 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,194
  8. 2020Neural Sparse Voxel Fieldscited by 959
  9. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 904
  10. 2019Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representationscited by 864
  11. 2020GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fieldscited by 784
  12. 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 780
15 more
  1. 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 735
  2. 2020pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesiscited by 708
  3. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
  4. 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 688
  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. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 510
  8. 2021StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesiscited by 477
  9. 2021Animatable Neural Radiance Fields for Modeling Dynamic Human Bodiescited by 361
  10. 2021DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networkscited by 232
  11. 2021NeX: Real-time View Synthesis with Neural Basis Expansioncited by 215
  12. 2020AutoInt: Automatic Integration for Fast Neural Volume Renderingcited by 204
  13. 2017Learning a Multi-View Stereo Machinecited by 194
  14. 2019Pushing the Boundaries of View Extrapolation with Multiplane Imagescited by 191
  15. 2020DeRF: Decomposed Radiance Fieldscited by 163

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 16; 2023: 37; 2024: 33; 2025: 13; 2026: 11.

110 papers.

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  1. 2023Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splattingcited by 470
  2. 2023LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPScited by 420
  3. 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 156
  4. 2022SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fieldscited by 144
  5. 2023Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracingcited by 138
  6. 2024GaMeS: Mesh-Based Adapting and Modification of Gaussian Splattingcited by 69
  7. 2022Masked Wavelet Representation for Compact Neural Radiance Fieldscited by 57
  8. 2024Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesiscited by 56
  9. 2022SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fieldscited by 49
  10. 2023DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Modelcited by 43
  11. 2023Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstructioncited by 43
  12. 2024Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstructioncited by 43
38 more
  1. 2024MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Maskscited by 39
  2. 2022Fast Learning Radiance Fields by Shooting Much Fewer Rayscited by 38
  3. 2024Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfelscited by 38
  4. 2023Real-Time Neural Rasterization for Large Scenescited by 37
  5. 2023Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Featurescited by 36
  6. 2024HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splattingcited by 35
  7. 2022StegaNeRF: Embedding Invisible Information within Neural Radiance Fieldscited by 32
  8. 2022Neural Fourier Filter Bankcited by 29
  9. 2023NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXercited by 29
  10. 2023Balanced Spherical Grid for Egocentric View Synthesiscited by 29
  11. 2023Learning Neural Duplex Radiance Fields for Real-Time View Synthesiscited by 28
  12. 2023BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fieldscited by 27
  13. 2025Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Imagescited by 25
  14. 20224K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutionscited by 23
  15. 2025Outdoor Monocular SLAM with Global Scale-Consistent 3D Gaussian Pointmapscited by 21
  16. 2022DINER: Depth-aware Image-based NEural Radiance fieldscited by 19
  17. 2024PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Viewscited by 18
  18. 2022A Survey on Deep Generative 3D-aware Image Synthesiscited by 16
  19. 2024Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimizationcited by 16
  20. 2022Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fieldscited by 15
  21. 2022SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectorycited by 15
  22. 2024Hier-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splattingcited by 15
  23. 20244D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitivescited by 15
  24. 2025GeoPredict: Leveraging Predictive Kinematics and 3D Gaussian Geometry for Precise VLA Manipulationcited by 15
  25. 2024NeRF Director: Revisiting View Selection in Neural Volume Renderingcited by 14
  26. 2024Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesiscited by 14
  27. 2023Iterative Superquadric Recomposition of 3D Objects from Multiple Viewscited by 13
  28. 2024Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesiscited by 13
  29. 2023FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipelinecited by 12
  30. 2024Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Priorcited by 12
  31. 2024HybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Predictioncited by 12
  32. 2024KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filtercited by 11
  33. 2024Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairscited by 11
  34. 2023TUVF: Learning Generalizable Texture UV Radiance Fieldscited by 9
  35. 2024Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Reviewcited by 9
  36. 2024X-Ray: A Sequential 3D Representation For Generationcited by 9
  37. 2023Strata-NeRF : Neural Radiance Fields for Stratified Scenescited by 7
  38. 2023MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fieldscited by 7

50 most cited of 110 All 110 (JSON)