mlsanityData to 14 Oct 2026

FusedRF: Fusing Multiple Radiance Fields

arXiv 2306.04180 ↗First posted 7 Jun 2023cs.CVcited by 1

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Abstract (arXiv)

Radiance Fields (RFs) have shown great potential to represent scenes from casually captured discrete views. Compositing parts or whole of multiple captured scenes could greatly interest several XR applications. Prior works can generate new views of such scenes by tracing each scene in parallel. This increases the render times and memory requirements with the number of components. In this work, we provide a method to create a single, compact, fused RF representation for a scene composited using multiple RFs. The fused RF has the same render times and memory utilizations as a single RF. Our method distills information from multiple teacher RFs into a single student RF while also facilitating further manipulations like addition and deletion into the fused representation.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 38 of its 43 references that are in the map. First posted on arXiv 7 Jun 2023.

Builds on

38 of 43 references.

References · 38

  1. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  2. 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
  3. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
  4. 2022TensoRF: Tensorial Radiance Fieldscited by 1,280
  5. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 964
  6. 2021PlenOctrees for Real-time Rendering of Neural Radiance Fieldscited by 905
  7. 2020NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesiscited by 496
  8. 2020NeRD: Neural Reflectance Decomposition from Image Collectionscited by 449
  9. 2021In-Place Scene Labelling and Understanding with Implicit Scene Representationcited by 415
  10. 2022Decomposing NeRF for Editing via Feature Field Distillationcited by 371
  11. 2021Extracting Triangular 3D Models, Materials, and Lighting From Imagescited by 366
  12. 2022NeuMan: Neural Human Radiance Field from a Single Videocited by 244
26 more
  1. 2021Learning Object-Compositional Neural Radiance Field for Editable Scene Renderingcited by 228
  2. 2021Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decompositioncited by 205
  3. 2022Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representationscited by 196
  4. 2022SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fieldscited by 144
  5. 2022NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editingcited by 142
  6. 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
  7. 2022D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Videocited by 137
  8. 2021Stylizing 3D Scene via Implicit Representation and HyperNetworkcited by 103
  9. 2021FoV-NeRF: Foveated Neural Radiance Fields for Virtual Realitycited by 79
  10. 2022Deforming Radiance Fields with Cagescited by 78
  11. 2022Object-Compositional Neural Implicit Surfacescited by 74
  12. 2022Removing Objects From Neural Radiance Fieldscited by 66
  13. 2022Learning Multi-Object Dynamics with Compositional Neural Radiance Fieldscited by 63
  14. 2022Improved Direct Voxel Grid Optimization for Radiance Fields Reconstructioncited by 61
  15. 2022DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesiscited by 61
  16. 2022Interactive Segmentation of Radiance Fieldscited by 60
  17. 2022Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulationcited by 57
  18. 2022NeuPhysics: Editable Neural Geometry and Physics from Monocular Videoscited by 50
  19. 2022RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Renderingcited by 36
  20. 2023PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervisioncited by 36
  21. 2022Volume Rendering Digest (for NeRF)cited by 32
  22. 2022EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Pointscited by 30
  23. 2022One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillationcited by 18
  24. 2022SPIDR: SDF-based Neural Point Fields for Illumination and Deformationcited by 17
  25. 2023Interactive Geometry Editing of Neural Radiance Fieldscited by 7
  26. 2022CoNFies: Controllable Neural Face Avatarscited by 4

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024Towards a Training Free Approach for 3D Scene Editingcited by 2