mlsanityData to 7 Oct 2026

Volume Rendering Digest (for NeRF)

arXiv 2209.02417 ↗First posted 29 Aug 2022cs.CV cs.GRcited by 31

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Abstract (arXiv)

Neural Radiance Fields employ simple volume rendering as a way to overcome the challenges of differentiating through ray-triangle intersections by leveraging a probabilistic notion of visibility. This is achieved by assuming the scene is composed by a cloud of light-emitting particles whose density changes in space. This technical report summarizes the derivations for differentiable volume rendering. It is a condensed version of previous reports, but rewritten in the context of NeRF, and adopting its commonly used notation.

Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). Builds on 0 of its 3 references that are in the map. First posted on arXiv 29 Aug 2022.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 14; 2024: 8; 2025: 6; 2026: 1.

31 papers.

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  1. 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 668
  2. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 395
  3. 2023Human Gaussian Splatting: Real-time Rendering of Animatable Avatarscited by 105
  4. 2023Learning to Render Novel Views from Wide-Baseline Stereo Pairscited by 103
  5. 2023RobustNeRF: Ignoring Distractors with Robust Lossescited by 101
  6. 2024GES: Generalized Exponential Splatting for Efficient Radiance Field Renderingcited by 92
  7. 2023Bayes' Rays: Uncertainty Quantification for Neural Radiance Fieldscited by 90
  8. 2023Neural LiDAR Fields for Novel View Synthesiscited by 65
  9. 2025Triangle Splatting for Real-Time Radiance Field Renderingcited by 50
  10. 2023Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motioncited by 44
  11. 2022nerf2nerf: Pairwise Registration of Neural Radiance Fieldscited by 39
  12. 2022ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fieldscited by 27
19 more
  1. 2023Dynamic LiDAR Re-simulation using Compositional Neural Fieldscited by 22
  2. 2024DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Renderingcited by 22
  3. 2023DReg-NeRF: Deep Registration for Neural Radiance Fieldscited by 21
  4. 2025StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splattingcited by 17
  5. 2024TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Trackscited by 12
  6. 2023DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fieldscited by 10
  7. 2023BlendFields: Few-Shot Example-Driven Facial Modelingcited by 6
  8. 2024CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Imagecited by 6
  9. 2025These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Modelscited by 6
  10. 2023Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representationscited by 5
  11. 2024Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generationcited by 5
  12. 20246Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstructioncited by 5
  13. 2024Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshescited by 5
  14. 2024Lagrangian Hashing for Compressed Neural Field Representationscited by 4
  15. 2026Power Foam: Unifying Real-Time Differentiable Ray Tracing and Rasterizationcited by 2
  16. 2023FusedRF: Fusing Multiple Radiance Fieldscited by 1
  17. 2025Neural Inverse Rendering from Propagating Lightcited by 1
  18. 2025BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fieldscited by 1
  19. 2025R3GS: Gaussian Splatting for Robust Reconstruction and Relocalization in Unconstrained Image Collectionscited by 0