mlsanityData to 7 Oct 2026

Neural Radiance Flow for 4D View Synthesis and Video Processing

arXiv 2012.09790 ↗First posted 17 Dec 2020cs.CV cs.LG cs.ROcited by 270

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Abstract (arXiv)

We present a method, Neural Radiance Flow (NeRFlow),to learn a 4D spatial-temporal representation of a dynamic scene from a set of RGB images. Key to our approach is the use of a neural implicit representation that learns to capture the 3D occupancy, radiance, and dynamics of the scene. By enforcing consistency across different modalities, our representation enables multi-view rendering in diverse dynamic scenes, including water pouring, robotic interaction, and real images, outperforming state-of-the-art methods for spatial-temporal view synthesis. Our approach works even when inputs images are captured with only one camera. We further demonstrate that the learned representation can serve as an implicit scene prior, enabling video processing tasks such as image super-resolution and de-noising without any additional supervision.

Key facts. Cited by 270 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Dec 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 22; 2022: 45; 2023: 69; 2024: 69; 2025: 42; 2026: 23.

270 papers.

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  1. 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearancecited by 742
  2. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 731
  3. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  4. 2023HexPlane: A Fast Representation for Dynamic Scenescited by 582
  5. 2021Neural Fields in Visual Computing and Beyondcited by 539
  6. 2021Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughscited by 396
  7. 2021Advances in Neural Renderingcited by 365
  8. 2022Fast Dynamic Radiance Fields with Time-Aware Neural Voxelscited by 344
  9. 2023Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesiscited by 341
  10. 2023SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenescited by 339
  11. 2023FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularizationcited by 310
  12. 2021Mixture of Volumetric Primitives for Efficient Neural Renderingcited by 277
38 more
  1. 2024Shape of Motion: 4D Reconstruction from a Single Videocited by 247
  2. 2022Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representationcited by 243
  3. 2021DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networkscited by 232
  4. 2022DynIBaR: Neural Dynamic Image-Based Renderingcited by 224
  5. 2022Tensor4D : Efficient Neural 4D Decomposition for High-fidelity Dynamic Reconstruction and Renderingcited by 217
  6. 2021Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulationcited by 204
  7. 2023Text-To-4D Dynamic Scene Generationcited by 204
  8. 2022Monocular Dynamic View Synthesis: A Reality Checkcited by 199
  9. 2023DreamGaussian4D: Generative 4D Gaussian Splattingcited by 191
  10. 20244D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenescited by 185
  11. 2024MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffoldscited by 177
  12. 2021NEAT: Neural Attention Fields for End-to-End Autonomous Drivingcited by 174
  13. 2022Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-timecited by 164
  14. 2022Instant Volumetric Head Avatarscited by 157
  15. 2022NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fieldscited by 151
  16. 2023SUDS: Scalable Urban Dynamic Scenescited by 151
  17. 2024WildGaussians: 3D Gaussian Splatting in the Wildcited by 150
  18. 2022D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Videocited by 136
  19. 2022Mixed Neural Voxels for Fast Multi-view Video Synthesiscited by 126
  20. 2024Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesiscited by 116
  21. 2021HDR-NeRF: High Dynamic Range Neural Radiance Fieldscited by 113
  22. 2021NeRF-VAE: A Geometry Aware 3D Scene Generative Modelcited by 111
  23. 20213D Neural Scene Representations for Visuomotor Controlcited by 110
  24. 2021Light Field Neural Renderingcited by 108
  25. 2024FreGS: 3D Gaussian Splatting with Progressive Frequency Regularizationcited by 103
  26. 2024STAG4D: Spatial-Temporal Anchored Generative 4D Gaussianscited by 102
  27. 2023RobustNeRF: Ignoring Distractors with Robust Lossescited by 101
  28. 2024Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstructioncited by 100
  29. 2021GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worldscited by 98
  30. 2021Neural Scene Flow Priorcited by 91
  31. 2024NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wildcited by 85
  32. 2023Neural Residual Radiance Fields for Streamably Free-Viewpoint Videoscited by 77
  33. 2021Learning to Stylize Novel Viewscited by 76
  34. 2023Learning Neural Volumetric Representations of Dynamic Humans in Minutescited by 70
  35. 2021SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decompositioncited by 69
  36. 2022AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fieldscited by 68
  37. 2024ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuningcited by 68
  38. 2023Forward Flow for Novel View Synthesis of Dynamic Scenescited by 67

50 most cited of 270 All 270 (JSON)