mlsanityData to 7 Oct 2026

Interactive Geometry Editing of Neural Radiance Fields

arXiv 2303.11537 ↗First posted 21 Mar 2023cs.CVcited by 7

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Abstract (arXiv)

In this paper, we propose a method that enables interactive geometry editing for neural radiance fields manipulation. We use two proxy cages(inner cage and outer cage) to edit a scene. The inner cage defines the operation target, and the outer cage defines the adjustment space. Various operations apply to the two cages. After cage selection, operations on the inner cage lead to the desired transformation of the inner cage and adjustment of the outer cage. Users can edit the scene with translation, rotation, scaling, or combinations. The operations on the corners and edges of the cage are also supported. Our method does not need any explicit 3D geometry representations. The interactive geometry editing applies directly to the implicit neural radiance fields. Extensive experimental results demonstrate the effectiveness of our approach.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 23 of its 39 references that are in the map. First posted on arXiv 21 Mar 2023.

Builds on

23 of 39 references.

References · 23

  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
  3. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,957
  4. 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,607
  5. 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
  6. 2020GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fieldscited by 784
  7. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 720
  8. 2020pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesiscited by 708
  9. 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 688
  10. 2020Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstructioncited by 465
  11. 2021HeadNeRF: A Real-time NeRF-based Parametric Head Modelcited by 228
  12. 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 216
11 more
  1. 2021HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fieldscited by 210
  2. 2022NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editingcited by 141
  3. 2022StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learningcited by 140
  4. 2019Neural Cages for Detail-Preserving 3D Deformationscited by 105
  5. 2021Stylizing 3D Scene via Implicit Representation and HyperNetworkcited by 103
  6. 2022Deforming Radiance Fields with Cagescited by 78
  7. 2017Variational Autoencoders for Deforming 3D Mesh Modelscited by 69
  8. 2021CoNeRF: Controllable Neural Radiance Fieldscited by 65
  9. 2022READ: Large-Scale Neural Scene Rendering for Autonomous Drivingcited by 50
  10. 2022UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scenecited by 47
  11. 2018Deeply Supervised Depth Map Super-Resolution as Novel View Synthesiscited by 5

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 5.

7 papers.

  1. 2024Neural Radiance Field-based Visual Rendering: A Comprehensive Reviewcited by 12
  2. 2024SIGNeRF: Scene Integrated Generation for Neural Radiance Fieldscited by 11
  3. 2023Instruct-Video2Avatar: Video-to-Avatar Generation with Instructionscited by 6
  4. 2024GSDeformer: Direct, Real-time and Extensible Cage-based Deformation for 3D Gaussian Splattingcited by 3
  5. 2024TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformationscited by 3
  6. 2024AniArtAvatar: Animatable 3D Art Avatar from a Single Imagecited by 2
  7. 2023FusedRF: Fusing Multiple Radiance Fieldscited by 1