Deforming Radiance Fields with Cages
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Abstract (arXiv)
Recent advances in radiance fields enable photorealistic rendering of static or dynamic 3D scenes, but still do not support explicit deformation that is used for scene manipulation or animation. In this paper, we propose a method that enables a new type of deformation of the radiance field: free-form radiance field deformation. We use a triangular mesh that encloses the foreground object called cage as an interface, and by manipulating the cage vertices, our approach enables the free-form deformation of the radiance field. The core of our approach is cage-based deformation which is commonly used in mesh deformation. We propose a novel formulation to extend it to the radiance field, which maps the position and the view direction of the sampling points from the deformed space to the canonical space, thus enabling the rendering of the deformed scene. The deformation results of the synthetic datasets and the real-world datasets demonstrate the effectiveness of our approach.
Key facts. Cited by 78 papers in the map (data through 14 Oct 2026). Builds on 34 of its 51 references that are in the map. First posted on arXiv 25 Jul 2022.
Builds on
34 of 51 references.
References · 34
- 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
- 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
- 2021Plenoxels: Radiance Fields without Neural Networkscited by 1,613
- 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,465
- 2022TensoRF: Tensorial Radiance Fieldscited by 1,280
- 2020Nerfies: Deformable Neural Radiance Fieldscited by 1,198
- 2016A Point Set Generation Network for 3D Object Reconstruction from a Single Imagecited by 979
- 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 964
- 2020Neural Sparse Voxel Fieldscited by 959
- 2019Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representationscited by 864
- 2020PCT: Point cloud transformercited by 732
- 2019Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervisioncited by 700
22 more
- 2020Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humanscited by 634
- 2020Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Videocited by 471
- 2017Neural 3D Mesh Renderercited by 437
- 2021Animatable Neural Radiance Fields for Modeling Dynamic Human Bodiescited by 361
- 2021NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Imagescited by 336
- 2018Learning Category-Specific Mesh Reconstruction from Image Collectionscited by 317
- 2020Neural Scene Graphs for Dynamic Scenescited by 298
- 2021A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Posecited by 233
- 2021Learning Object-Compositional Neural Radiance Field for Editable Scene Renderingcited by 228
- 2021Editing Conditional Radiance Fieldscited by 222
- 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 217
- 2021HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fieldscited by 214
- 2021Neural Articulated Radiance Fieldcited by 196
- 2016Learning a Predictable and Generative Vector Representation for Objectscited by 173
- 2021Editable Free-viewpoint Video Using a Layered Neural Representationcited by 148
- 2016Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervisioncited by 106
- 2019Neural Cages for Detail-Preserving 3D Deformationscited by 106
- 2021Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Controlcited by 106
- 2020Object-Centric Neural Scene Renderingcited by 90
- 2021KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Controlcited by 51
- 2021Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objectscited by 50
- 2022Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesiscited by 41
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Citing papers per year: 2022: 4; 2023: 32; 2024: 27; 2025: 11; 2026: 4.
78 papers.
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- 2025DualNeRF: Text-Driven 3D Scene Editing via Dual-Field Representationcited by 2
- 2025DualNeRF: Text-Driven 3D Scene Editing via Dual-Field Representation22 Feb 2025
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- 20243DEgo: 3D Editing on the Go!14 Jul 2024
- 2024ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing13 Jun 2024
- 2024SIGNeRF: Scene Integrated Generation for Neural Radiance Fields3 Jan 2024
- 2023GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions27 Nov 2023
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- 2023Vox-E: Text-guided Voxel Editing of 3D Objects21 Mar 2023
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- 2023SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenescited by 347
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- 2023UniSim: A Neural Closed-Loop Sensor Simulatorcited by 297
- 2023DreamEditor: Text-Driven 3D Scene Editing with Neural Fieldscited by 155
- 20243D Gaussian as a New Era: A Surveycited by 104
- 2024DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editingcited by 94
- 2024StyleGaussian: Instant 3D Style Transfer with Gaussian Splattingcited by 79
- 2024TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Promptscited by 77
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- 2023NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Cloudscited by 41
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- 20263DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing12 Jan 2026
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- 2025Advances in 4D Representation: Geometry, Motion, and Interaction22 Oct 2025
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- 2025Affine-Equivariant Kernel Space Encoding for NeRF Editing4 Aug 2025
- 2025PromptVFX: Text-Driven Fields for Open-World 3D Gaussian Animation1 Jun 2025
- 2025GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis26 May 2025
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