mlsanityData to 7 Oct 2026

L0-Sampler: An L0 Model Guided Volume Sampling for NeRF

arXiv 2311.07044 ↗First posted 13 Nov 2023cs.CV cs.GRcited by 4

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Abstract (arXiv)

Since being proposed, Neural Radiance Fields (NeRF) have achieved great success in related tasks, mainly adopting the hierarchical volume sampling (HVS) strategy for volume rendering. However, the HVS of NeRF approximates distributions using piecewise constant functions, which provides a relatively rough estimation. Based on the observation that a well-trained weight function w(t) and the L0 distance between points and the surface have very high similarity, we propose L0-Sampler by incorporating the L0 model into w(t) to guide the sampling process. Specifically, we propose to use piecewise exponential functions rather than piecewise constant functions for interpolation, which can not only approximate quasi-L0 weight distributions along rays quite well but also can be easily implemented with few lines of code without additional computational burden. Stable performance improvements can be achieved by applying L0-Sampler to NeRF and its related tasks like 3D reconstruction. Code is available at https://ustc3dv.github.io/L0-Sampler/ .

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 51 of its 69 references that are in the map. First posted on arXiv 13 Nov 2023.

Builds on

51 of 69 references.

References · 51

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  2. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
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  12. 2021Volume Rendering of Neural Implicit Surfacescited by 990
38 more
  1. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
  2. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 904
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  11. 2020Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Videocited by 470
  12. 2019Making Convolutional Networks Shift-Invariant Againcited by 390
  13. 2021AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesiscited by 339
  14. 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 330
  15. 2020Neural Radiance Flow for 4D View Synthesis and Video Processingcited by 270
  16. 2021DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networkscited by 232
  17. 2021HeadNeRF: A Real-time NeRF-based Parametric Head Modelcited by 228
  18. 2020AutoInt: Automatic Integration for Fast Neural Volume Renderingcited by 204
  19. 2021Neural Articulated Radiance Fieldcited by 196
  20. 2022SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Videocited by 144
  21. 2022Reconstructing Personalized Semantic Facial NeRF Models From Monocular Videocited by 128
  22. 2022Compressible-composable NeRF via Rank-residual Decompositioncited by 92
  23. 2023NerfAcc: Efficient Sampling Accelerates NeRFscited by 90
  24. 2022ReLU Fields: The Little Non-linearity That Couldcited by 87
  25. 2021TermiNeRF: Ray Termination Prediction for Efficient Neural Renderingcited by 70
  26. 2022AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fieldscited by 68
  27. 2022Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Cameracited by 57
  28. 2021Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsamplingcited by 48
  29. 2022Fast Learning Radiance Fields by Shooting Much Fewer Rayscited by 38
  30. 2021NeRF in detail: Learning to sample for view synthesiscited by 35
  31. 2021NeuSample: Neural Sample Field for Efficient View Synthesiscited by 21
  32. 2023Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Containercited by 10
  33. 2023NeRF Revisited: Fixing Quadrature Instability in Volume Renderingcited by 10
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  37. 2023IntrinsicNGP: Intrinsic Coordinate based Hash Encoding for Human NeRFcited by 7
  38. 2022DDNeRF: Depth Distribution Neural Radiance Fieldscited by 5

50 most cited of 51 All 51 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 0; 2026: 1.

4 papers.

  1. 2024VRP-UDF: Towards Unbiased Learning of Unsigned Distance Functions from Multi-view Images with Volume Rendering Priorscited by 17
  2. 2024GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Accelerationcited by 3
  3. 2026NERFIFY: A Multi-Agent Framework for Turning NeRF Papers into Codecited by 1
  4. 2024Fine-detailed Neural Indoor Scene Reconstruction using multi-level importance sampling and multi-view consistencycited by 0