The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
Open accessAbstract
We present a method that simultaneously addresses the tasks of dynamic scene novel-view synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We follow an analysis-by-synthesis framework, inspired by recent work that models scenes as a collection of 3D Gaussians which are optimized to reconstruct input images via differentiable rendering. To model dynamic scenes, we allow Gaussians to move and rotate over time while enforcing that they have persistent color, opacity, and size. By regularizing Gaussians’ motion and rotation with local-rigidity constraints, we show that our Dynamic 3D Gaussians correctly model the same area of physical space over time, including the rotation of that space. Dense 6-DOF tracking and dynamic reconstruction emerges naturally from persistent dynamic view synthesis, without requiring any correspondence or flow as input. We demonstrate a large number of downstream applications enabled by our representation, including first-person view synthesis, dynamic compositional scene synthesis, and 4D video editing.111. Project Website: dynamic3dgaussians.github.io
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Self-citationNeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
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SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
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Self-citationDeformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
Yang, Z., Gao, X., Zhou, W., Jiao, S., Zhang, Y., & Jin, X. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52733.2024.01922 · Cited by 452
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
Huang, W., Wang, C., Li, Y., Zhang, R., & Fei-Fei, L. (2024) · arXiv · doi:10.48550/arxiv.2409.01652 · Cited by 288
LangSplat: 3D Language Gaussian Splatting
Qin, M., Li, W., Zhou, J., Wang, H., & Pfister, H. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52733.2024.01895 · Cited by 268
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
Zhou, X., Lin, Z., Shan, X., Wang, Y., Sun, D., & Yang, M.-H. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52733.2024.02044 · Cited by 248
Metadata
- Authors
- Luiten, J., Kopanas, G., Leibe, B., & Ramanan, D.
- Venue
- 2024 International Conference on 3D Vision (3DV)
- Publisher
- IEEE
- Published
- 2024-03-18
- Pages
- 800-809
- OpenAlex
- W4399574574
- Cited by
- 469
- References
- 44
- FWCI
- 134.40
- Type
- conference paper
- Language
- en
- Open access
- green
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