mlsanityData to 7 Oct 2026

NeuSample: Neural Sample Field for Efficient View Synthesis

arXiv 2111.15552 ↗First posted 30 Nov 2021cs.CV cs.GRcited by 21

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Abstract (arXiv)

Neural radiance fields (NeRF) have shown great potentials in representing 3D scenes and synthesizing novel views, but the computational overhead of NeRF at the inference stage is still heavy. To alleviate the burden, we delve into the coarse-to-fine, hierarchical sampling procedure of NeRF and point out that the coarse stage can be replaced by a lightweight module which we name a neural sample field. The proposed sample field maps rays into sample distributions, which can be transformed into point coordinates and fed into radiance fields for volume rendering. The overall framework is named as NeuSample. We perform experiments on Realistic Synthetic 360circ and Real Forward-Facing, two popular 3D scene sets, and show that NeuSample achieves better rendering quality than NeRF while enjoying a faster inference speed. NeuSample is further compressed with a proposed sample field extraction method towards a better trade-off between quality and speed.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Builds on 35 of its 46 references that are in the map. First posted on arXiv 30 Nov 2021.

Builds on

35 of 46 references.

References · 35

  1. 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,214
  2. 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,170
  3. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,037
  4. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  5. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  6. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
  7. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,459
  8. 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,194
  9. 2020Neural Sparse Voxel Fieldscited by 959
  10. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 904
  11. 2019Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representationscited by 864
  12. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
23 more
  1. 2020Convolutional Occupancy Networkscited by 760
  2. 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
  3. 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 688
  4. 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
  5. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  6. 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 643
  7. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 510
  8. 2020NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesiscited by 493
  9. 2021Baking Neural Radiance Fields for Real-Time View Synthesiscited by 465
  10. 2021Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesiscited by 464
  11. 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 330
  12. 2019Learning Shape Templates with Structured Implicit Functionscited by 242
  13. 2020Learned Initializations for Optimizing Coordinate-Based Neural Representationscited by 240
  14. 2021DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networkscited by 232
  15. 2021NeX: Real-time View Synthesis with Neural Basis Expansioncited by 215
  16. 2019Texture Fields: Learning Texture Representations in Function Spacecited by 210
  17. 2020AutoInt: Automatic Integration for Fast Neural Volume Renderingcited by 204
  18. 2020GRF: Learning a General Radiance Field for 3D Representation and Renderingcited by 183
  19. 2020DeRF: Decomposed Radiance Fieldscited by 163
  20. 2019Controlling Neural Level Setscited by 76
  21. 2021TermiNeRF: Ray Termination Prediction for Efficient Neural Renderingcited by 70
  22. 2019Learning a Neural 3D Texture Space from 2D Exemplarscited by 53
  23. 2021NeRF in detail: Learning to sample for view synthesiscited by 35

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Cited by year

Citing papers per year: 2021: 1; 2022: 4; 2023: 11; 2024: 3; 2025: 2.

21 papers.

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  1. 2022Fast Dynamic Radiance Fields with Time-Aware Neural Voxelscited by 344
  2. 2023Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particlecited by 210
  3. 2023HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Samplingcited by 173
  4. 2022NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fieldscited by 151
  5. 2021Efficient Neural Radiance Fields for Interactive Free-viewpoint Videocited by 150
  6. 2022AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fieldscited by 68
  7. 2024Fast High Dynamic Range Radiance Fields for Dynamic Scenescited by 13
  8. 2023FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipelinecited by 12
  9. 2025Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Accelerationcited by 9
  10. 2022Progressively-connected Light Field Network for Efficient View Synthesiscited by 8
  11. 2023Neural Radiance Fields: Past, Present, and Futurecited by 8
  12. 2023BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitivescited by 8
9 more
  1. 2023MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fieldscited by 7
  2. 2023Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representationscited by 5
  3. 2023L0-Sampler: An L0 Model Guided Volume Sampling for NeRFcited by 4
  4. 2023Differentiable Rendering with Reparameterized Volume Samplingcited by 3
  5. 2023MixRT: Mixed Neural Representations For Real-Time NeRF Renderingcited by 3
  6. 2024Oblique-MERF: Revisiting and Improving MERF for Oblique Photographycited by 2
  7. 2023Efficient View Synthesis with Neural Radiance Distribution Fieldcited by 1
  8. 2024Evolutive Rendering Modelscited by 0
  9. 2025TPG-INR: Target Prior-Guided Implicit 3D CT Reconstruction for Enhanced Sparse-view Imagingcited by 0