mlsanityData to 7 Oct 2026

Neural Radiance Fields: Past, Present, and Future

arXiv 2304.10050 ↗First posted 20 Apr 2023cs.CVcited by 8

Not on the map. Why?

Abstract (arXiv)

The various aspects like modeling and interpreting 3D environments and surroundings have enticed humans to progress their research in 3D Computer Vision, Computer Graphics, and Machine Learning. An attempt made by Mildenhall et al in their paper about NeRFs (Neural Radiance Fields) led to a boom in Computer Graphics, Robotics, Computer Vision, and the possible scope of High-Resolution Low Storage Augmented Reality and Virtual Reality-based 3D models have gained traction from res with more than 1000 preprints related to NeRFs published. This paper serves as a bridge for people starting to study these fields by building on the basics of Mathematics, Geometry, Computer Vision, and Computer Graphics to the difficulties encountered in Implicit Representations at the intersection of all these disciplines. This survey provides the history of rendering, Implicit Learning, and NeRFs, the progression of research on NeRFs, and the potential applications and implications of NeRFs in today's world. In doing so, this survey categorizes all the NeRF-related research in terms of the datasets used, objective functions, applications solved, and evaluation criteria for these applications.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 39 of its 272 references that are in the map. First posted on arXiv 20 Apr 2023.

Builds on

39 of 272 references.

References · 39

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  3. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
  4. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  5. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
  6. 2021StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesiscited by 477
  7. 2021BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Renderingcited by 228
  8. 2020SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Drivingcited by 226
  9. 2021HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fieldscited by 210
  10. 2018Stereo Magnification: Learning View Synthesis using Multiplane Imagescited by 206
  11. 2020Neural Reflectance Fields for Appearance Acquisitioncited by 196
  12. 2019Neural Volumes: Learning Dynamic Renderable Volumes from Imagescited by 173
27 more
  1. 2022NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)cited by 156
  2. 2021NeRF--: Neural Radiance Fields Without Known Camera Parameterscited by 155
  3. 2021Efficient Neural Radiance Fields for Interactive Free-viewpoint Videocited by 150
  4. 2021CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesiscited by 149
  5. 2021Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objectscited by 119
  6. 2021NeRF for Outdoor Scene Relightingcited by 114
  7. 2021HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputscited by 112
  8. 2021Animatable Neural Radiance Fields from Monocular RGB Videoscited by 109
  9. 2021Unsupervised Discovery of Object Radiance Fieldscited by 100
  10. 2021ShaRF: Shape-conditioned Radiance Fields from a Single Viewcited by 92
  11. 2020Object-Centric Neural Scene Renderingcited by 90
  12. 2021Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentationcited by 88
  13. 2020Portrait Neural Radiance Fields from a Single Imagecited by 61
  14. 2015Multi-view 3D Models from Single Images with a Convolutional Networkcited by 57
  15. 2022Few-View Object Reconstruction with Unknown Categories and Camera Posescited by 53
  16. 2021Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Renderingcited by 46
  17. 2021NeRF in detail: Learning to sample for view synthesiscited by 35
  18. 2021FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animationcited by 33
  19. 2021Recursive-NeRF: An Efficient and Dynamically Growing NeRFcited by 32
  20. 2021ILabel: Interactive Neural Scene Labellingcited by 28
  21. 2021NeuSample: Neural Sample Field for Efficient View Synthesiscited by 21
  22. 2021CG-NeRF: Conditional Generative Neural Radiance Fieldscited by 18
  23. 2021VaxNeRF: Revisiting the Classic for Voxel-Accelerated Neural Radiance Fieldcited by 14
  24. 2021Solving Inverse Problems with NerfGANscited by 7
  25. 2018Fast View Synthesis with Deep Stereo Visioncited by 6
  26. 2021Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Imagescited by 5
  27. 2022Neural Volume Super-Resolutioncited by 5

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 5; 2025: 1.

8 papers.

  1. 2023Mip-Splatting: Alias-free 3D Gaussian Splattingcited by 661
  2. 2023Human Gaussian Splatting: Real-time Rendering of Animatable Avatarscited by 105
  3. 2024Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Reviewcited by 9
  4. 2024Connecting NeRFs, Images, and Textcited by 6
  5. 2025Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Fieldcited by 4
  6. 2024Ray-driven Spectral CT Reconstruction Based on Neural Base-Material Fieldscited by 3
  7. 2024RenderBender: A Survey on Adversarial Attacks Using Differentiable Renderingcited by 3
  8. 2024Iterative approach to reconstructing neural disparity fields from light-field datacited by 2