mlsanityData to 7 Oct 2026

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

arXiv 2304.06706 ↗First posted 13 Apr 2023cs.CV cs.GR cs.LGcited by 667

Not on the map. Why?

Cited by 52 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF's learned mapping from spatial coordinates to colors and volumetric density. However, these grid-based approaches lack an explicit understanding of scale and therefore often introduce aliasing, usually in the form of jaggies or missing scene content. Anti-aliasing has previously been addressed by mip-NeRF 360, which reasons about sub-volumes along a cone rather than points along a ray, but this approach is not natively compatible with current grid-based techniques. We show how ideas from rendering and signal processing can be used to construct a technique that combines mip-NeRF 360 and grid-based models such as Instant NGP to yield error rates that are 8% - 77% lower than either prior technique, and that trains 24x faster than mip-NeRF 360.

Key facts. Cited by 667 papers in the map (data through 7 Oct 2026). Builds on 22 of its 41 references that are in the map. First posted on arXiv 13 Apr 2023.

Builds on

22 of 41 references.

References · 22

  1. 2017Attention Is All You Needcited by 59,932
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  4. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  5. 2017FiLM: Visual Reasoning with a General Conditioning Layercited by 2,286
  6. 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,170
  7. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,013
  8. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  9. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  10. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  11. 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
  12. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
10 more
  1. 2020NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collectionscited by 1,230
  2. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
  3. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
  4. 2021NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Imagescited by 336
  5. 2017A General and Adaptive Robust Loss Functioncited by 236
  6. 2021DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networkscited by 232
  7. 2023BakedSDF: Meshing Neural SDFs for Real-Time View Synthesiscited by 220
  8. 2017Optimizing the Latent Space of Generative Networkscited by 157
  9. 2022ReLU Fields: The Little Non-linearity That Couldcited by 87
  10. 2022NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fieldscited by 86

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 89; 2024: 247; 2025: 217; 2026: 114.

667 papers.

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  1. 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 753
  2. 2023Scaffold-GS: Structured 3D Gaussians for View-Adaptive Renderingcited by 684
  3. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 661
  4. 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 514
  5. 2023Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splattingcited by 470
  6. 2024CAT3D: Create Anything in 3D with Multi-View Diffusion Modelscited by 425
  7. 2023Compact 3D Gaussian Representation for Radiance Fieldcited by 365
  8. 2023Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fieldscited by 361
  9. 2024GS-LRM: Large Reconstruction Model for 3D Gaussian Splattingcited by 344
  10. 2023Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesiscited by 341
  11. 2023SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenescited by 339
  12. 2023ReconFusion: 3D Reconstruction with Diffusion Priorscited by 317
38 more
  1. 2023Text-to-3D using Gaussian Splattingcited by 299
  2. 2024PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstructioncited by 280
  3. 2023FSGS: Real-Time Few-shot View Synthesis using Gaussian Splattingcited by 278
  4. 20243D Reconstruction with Spatial Memorycited by 269
  5. 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 250
  6. 2024Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussianscited by 225
  7. 2024Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splattingcited by 218
  8. 2023EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervisioncited by 216
  9. 2024VastGaussian: Vast 3D Gaussians for Large Scene Reconstructioncited by 209
  10. 2024Mini-Splatting: Representing Scenes with a Constrained Number of Gaussianscited by 208
  11. 2023Language Embedded 3D Gaussians for Open-Vocabulary Scene Understandingcited by 205
  12. 2024GaussianPro: 3D Gaussian Splatting with Progressive Propagationcited by 199
  13. 2024Taming 3DGS: High-Quality Radiance Fields with Limited Resourcescited by 198
  14. 2023COLMAP-Free 3D Gaussian Splattingcited by 193
  15. 2025Stable Virtual Camera: Generative View Synthesis with Diffusion Modelscited by 179
  16. 2024LVSM: A Large View Synthesis Model with Minimal 3D Inductive Biascited by 178
  17. 20243DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videoscited by 156
  18. 2023NeuRAD: Neural Rendering for Autonomous Drivingcited by 146
  19. 2023Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Renderingcited by 143
  20. 2024HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splattingcited by 141
  21. 2024OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understandingcited by 141
  22. 2024ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Modelcited by 139
  23. 2023Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracingcited by 138
  24. 2023Multi-Scale 3D Gaussian Splatting for Anti-Aliased Renderingcited by 137
  25. 2024Recent Advances in 3D Gaussian Splattingcited by 130
  26. 2023DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splattingcited by 124
  27. 2024DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representationcited by 123
  28. 2025TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Modelscited by 120
  29. 2024Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splattingcited by 111
  30. 2024Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splatscited by 111
  31. 2024RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPScited by 110
  32. 20243DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priorscited by 106
  33. 2023Human Gaussian Splatting: Real-time Rendering of Animatable Avatarscited by 105
  34. 2024UniScene: Unified Occupancy-centric Driving Scene Generationcited by 102
  35. 2025Cameras as Relative Positional Encodingcited by 94
  36. 2024GES: Generalized Exponential Splatting for Efficient Radiance Field Renderingcited by 92
  37. 2023Language Embedded Radiance Fields for Zero-Shot Task-Oriented Graspingcited by 91
  38. 2023NerfAcc: Efficient Sampling Accelerates NeRFscited by 90

50 most cited of 667 All 667 (JSON)