mlsanityData to 14 Oct 2026

Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis

arXiv 2412.05570 ↗First posted 7 Dec 2024cs.CVcited by 13

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Abstract (arXiv)

While novel view synthesis for dynamic scenes has made significant progress, capturing skeleton models of objects and re-posing them remains a challenging task. To tackle this problem, in this paper, we propose a novel approach to automatically discover the associated skeleton model for dynamic objects from videos without the need for object-specific templates. Our approach utilizes 3D Gaussian Splatting and superpoints to reconstruct dynamic objects. Treating superpoints as rigid parts, we can discover the underlying skeleton model through intuitive cues and optimize it using the kinematic model. Besides, an adaptive control strategy is applied to avoid the emergence of redundant superpoints. Extensive experiments demonstrate the effectiveness and efficiency of our method in obtaining re-posable 3D objects. Not only can our approach achieve excellent visual fidelity, but it also allows for the real-time rendering of high-resolution images.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 42 of its 52 references that are in the map. First posted on arXiv 7 Dec 2024.

Builds on

42 of 52 references.

References · 42

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  3. 2019Expressive Body Capture: 3D Hands, Face, and Body from a Single Imagecited by 1,612
  4. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,465
  5. 2022TensoRF: Tensorial Radiance Fieldscited by 1,280
  6. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,157
  7. 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 964
  8. 2023Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstructioncited by 759
  9. 2020Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenescited by 751
  10. 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearancecited by 746
  11. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 737
  12. 2020Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humanscited by 634
30 more
  1. 2023HexPlane: A Fast Representation for Dynamic Scenescited by 587
  2. 2020Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Videocited by 471
  3. 2020Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstructioncited by 467
  4. 2021Dynamic View Synthesis from Dynamic Monocular Videocited by 420
  5. 2020Space-time Neural Irradiance Fields for Free-Viewpoint Videocited by 414
  6. 2021Animatable Neural Radiance Fields for Modeling Dynamic Human Bodiescited by 361
  7. 2023SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenescited by 347
  8. 2022Fast Dynamic Radiance Fields with Time-Aware Neural Voxelscited by 346
  9. 2021AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesiscited by 339
  10. 20163D Menagerie: Modeling the 3D shape and pose of animalscited by 312
  11. 2020Neural Radiance Flow for 4D View Synthesis and Video Processingcited by 270
  12. 2021A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Posecited by 233
  13. 2021I M Avatar: Implicit Morphable Head Avatars from Videoscited by 231
  14. 2022DynIBaR: Neural Dynamic Image-Based Renderingcited by 224
  15. 2022PointAvatar: Deformable Point-based Head Avatars from Videoscited by 184
  16. 2022TAVA: Template-free Animatable Volumetric Actorscited by 172
  17. 2021Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Renderingcited by 158
  18. 2021H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motioncited by 157
  19. 2022MagicPony: Learning Articulated 3D Animals in the Wildcited by 112
  20. 2022EfficientNeRF: Efficient Neural Radiance Fieldscited by 111
  21. 2021MoFaNeRF: Morphable Facial Neural Radiance Fieldcited by 94
  22. 2020Learning Compositional Radiance Fields of Dynamic Human Headscited by 78
  23. 2022LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discoverycited by 66
  24. 2021Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objectscited by 50
  25. 2024Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstructioncited by 45
  26. 2022Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesiscited by 41
  27. 2022CASA: Category-agnostic Skeletal Animal Reconstructioncited by 35
  28. 2021HVTR: Hybrid Volumetric-Textural Rendering for Human Avatarscited by 33
  29. 2022Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemblecited by 31
  30. 2023Template-free Articulated Neural Point Clouds for Reposable View Synthesiscited by 15

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 8; 2026: 5.

13 papers.

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  1. 2025ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splattingcited by 67
  2. 2025DreamArt: Generating Interactable Articulated Objects from a Single Imagecited by 25
  3. 2025GaussianArt: Unified Modeling of Geometry and Motion for Articulated Objectscited by 17
  4. 2025RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videoscited by 14
  5. 2025ReCon-GS: Continuum-Preserved Gaussian Streaming for Fast and Compact Reconstruction of Dynamic Scenescited by 12
  6. 2025Instant4D: 4D Gaussian Splatting in Minutescited by 10
  7. 2025E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Camerascited by 7
  8. 2025Part2GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splattingcited by 1
  9. 2026SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splattingcited by 1
  10. 2026GaussiAnimate: Rig Animatable Categories with Level of Dynamicscited by 0
  11. 2026GenMatter: Perceiving Physical Objects with Generative Matter Modelscited by 0
  12. 2026RigPAPR: Rig-Based Animation of Static Neural Point Clouds from a Fixed-Viewpoint Videocited by 0
1 more
  1. 2026G-Skin: Learning to Bind 3D Gaussians with Generative Visual Priorscited by 0