mlsanityData to 14 Oct 2026

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures

arXiv 2208.00277 ↗First posted 30 Jul 2022cs.CV cs.GR cs.LGcited by 311

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Abstract (arXiv)

Neural Radiance Fields (NeRFs) have demonstrated amazing ability to synthesize images of 3D scenes from novel views. However, they rely upon specialized volumetric rendering algorithms based on ray marching that are mismatched to the capabilities of widely deployed graphics hardware. This paper introduces a new NeRF representation based on textured polygons that can synthesize novel images efficiently with standard rendering pipelines. The NeRF is represented as a set of polygons with textures representing binary opacities and feature vectors. Traditional rendering of the polygons with a z-buffer yields an image with features at every pixel, which are interpreted by a small, view-dependent MLP running in a fragment shader to produce a final pixel color. This approach enables NeRFs to be rendered with the traditional polygon rasterization pipeline, which provides massive pixel-level parallelism, achieving interactive frame rates on a wide range of compute platforms, including mobile phones.

Key facts. Cited by 311 papers in the map (data through 14 Oct 2026). Builds on 34 of its 58 references that are in the map. First posted on arXiv 30 Jul 2022.

Builds on

34 of 58 references.

References · 34

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  2. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  3. 2013Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computationcited by 2,079
  4. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  5. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  6. 2022TensoRF: Tensorial Radiance Fieldscited by 1,280
  7. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 964
  8. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 905
  9. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 861
  10. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 673
  11. 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
  12. 2021Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fieldscited by 575
22 more
  1. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 511
  2. 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
  3. 2021Baking Neural Radiance Fields for Real-Time View Synthesiscited by 468
  4. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 460
  5. 2021Extracting Triangular 3D Models, Materials, and Lighting From Imagescited by 366
  6. 2019Deferred Neural Rendering: Image Synthesis using Neural Texturescited by 253
  7. 2019DeepView: View Synthesis with Learned Gradient Descentcited by 253
  8. 2021DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networkscited by 232
  9. 2021NeX: Real-time View Synthesis with Neural Basis Expansioncited by 216
  10. 2018Stereo Magnification: Learning View Synthesis using Multiplane Imagescited by 211
  11. 2021Point-Based Neural Rendering with Per-View Optimizationcited by 190
  12. 2019Neural Volumes: Learning Dynamic Renderable Volumes from Imagescited by 173
  13. 2020DeRF: Decomposed Radiance Fieldscited by 163
  14. 2022ReLU Fields: The Little Non-linearity That Couldcited by 87
  15. 2020Learning Deformable Tetrahedral Meshes for 3D Reconstructioncited by 85
  16. 2022Neural Dual Contouringcited by 71
  17. 2020MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Imagescited by 64
  18. 2021DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Renderingcited by 60
  19. 2022Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulationcited by 57
  20. 2021Differentiable Surface Rendering via Non-Differentiable Samplingcited by 28
  21. 2022NeurMiPs: Neural Mixture of Planar Experts for View Synthesiscited by 23
  22. 2018LookinGood: Enhancing Performance Capture with Real-time Neural Re-Renderingcited by 22

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 11; 2023: 99; 2024: 111; 2025: 57; 2026: 33.

311 papers.

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  1. 20242D Gaussian Splatting for Geometrically Accurate Radiance Fieldscited by 1,076
  2. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 843
  3. 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 759
  4. 2023Scaffold-GS: Structured 3D Gaussians for View-Adaptive Renderingcited by 695
  5. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 616
  6. 2023GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splattingcited by 335
  7. 2023UniSim: A Neural Closed-Loop Sensor Simulatorcited by 297
  8. 2024Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenescited by 232
  9. 2023LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenescited by 231
  10. 2023BakedSDF: Meshing Neural SDFs for Real-Time View Synthesiscited by 221
  11. 2023MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenescited by 218
  12. 2024VastGaussian: Vast 3D Gaussians for Large Scene Reconstructioncited by 209
38 more
  1. 2023Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Imagescited by 173
  2. 2023HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motioncited by 161
  3. 20243DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videoscited by 160
  4. 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 158
  5. 2022SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fieldscited by 144
  6. 2023Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fieldscited by 143
  7. 2023Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Renderingcited by 143
  8. 2023Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracingcited by 142
  9. 2023Flexible Isosurface Extraction for Gradient-Based Mesh Optimizationcited by 139
  10. 2024Recent Advances in 3D Gaussian Splattingcited by 131
  11. 2023CompGS: Smaller and Faster Gaussian Splatting with Vector Quantizationcited by 130
  12. 2024RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPScited by 113
  13. 2024RaDe-GS: Rasterizing Depth in Gaussian Splattingcited by 111
  14. 2023Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinementcited by 106
  15. 2023RobustNeRF: Ignoring Distractors with Robust Lossescited by 101
  16. 20234K4D: Real-Time 4D View Synthesis at 4K Resolutioncited by 91
  17. 2023Implicit Neural Representation in Medical Imaging: A Comparative Surveycited by 90
  18. 20243DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splattingcited by 88
  19. 2023AvatarReX: Real-time Expressive Full-body Avatarscited by 84
  20. 2023Neural Residual Radiance Fields for Streamably Free-Viewpoint Videoscited by 77
  21. 2024Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splattingcited by 74
  22. 2023Adaptive Shells for Efficient Neural Radiance Field Renderingcited by 69
  23. 2023SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Explorationcited by 62
  24. 2024SpotlessSplats: Ignoring Distractors in 3D Gaussian Splattingcited by 61
  25. 2024Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesiscited by 58
  26. 2024Click-Gaussian: Interactive Segmentation to Any 3D Gaussianscited by 58
  27. 2024Representing Long Volumetric Video with Temporal Gaussian Hierarchycited by 58
  28. 2024MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformationcited by 56
  29. 2023Urban Radiance Field Representation with Deformable Neural Mesh Primitivescited by 55
  30. 2023Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenescited by 55
  31. 2023NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshescited by 53
  32. 2024AutoSplat: Constrained Gaussian Splatting for Autonomous Driving Scene Reconstructioncited by 52
  33. 2023Representing Volumetric Videos as Dynamic MLP Mapscited by 51
  34. 2024GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Meshcited by 51
  35. 2023Watch Your Steps: Local Image and Scene Editing by Text Instructionscited by 50
  36. 2025Triangle Splatting for Real-Time Radiance Field Renderingcited by 50
  37. 2022Real-Time Neural Light Field on Mobile Devicescited by 48
  38. 2024EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesiscited by 48

50 most cited of 311 All 311 (JSON)