Real-Time Dynamic Scene Rendering with Controlled Compressibility and Contact Awareness
Boya Shi, Naiyang Guan, Xiaodong Yi
摘要
Existing dynamic scene rendering methods often adopt rigid-body or direction-limited assumptions, yet real-world motion and contact routinely violate these, producing artifacts near occlusion boundaries. To address this, we introduce a unified, source-aware framework for dynamic rendering that enforces the consistency of Gaussian primitives under an explicit manifold constraints. We project predicted velocities onto physically grounded priors via efficient, parallel inner solves: (i) a Helmholtz parameterization that separates divergence-free and potential-flow motion components; (ii) an anisotropic, compressible directional prior; and (iii) an affine family that disentangles rotation from isotropic scaling. Experiments on extensive benchmarks show consistent improvements over state-of-the-art methods in reconstruction fidelity and temporal coherence. Our approach ensures physically realistic rendering, especially near contacts, and substantially reduces motion-boundary artifacts.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper29
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 被引用 5,687 次
- Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance FieldsJonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman 等ICCV 2021 · 被引用 2,700 次
- Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance FieldsJonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan 等CVPR 2022 · 被引用 1,603 次
- Nerfies: Deformable Neural Radiance FieldsKeunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz 等ICCV 2021 · 被引用 1,442 次
- Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular VideoEdgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer 等ICCV 2021 · 被引用 617 次
相关 Paper
- Edge Consistency for 4D Gaussian Splatting in Dynamic Scene RenderingBoya Shi, Thomas N. Guan, Xiaodong YiAAAI 2026
- FluidGS: Physics Informed Gaussian Splatting for Dynamic Fluid Reconstruction from Sparse ViewsYouchen Xie, Chen Li, Sheng Qiu, Zhi-Jun Wang 等ACM MM 2025 · 被引用 2 次
- HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic SceneJianing Chen, Zehao Li, Yujun Cai, Hao Jiang 等NeurIPS 2025 · 被引用 14 次
- GauSmoke: Hybrid Physics-Optical Gaussian Splatting for Sparse Smoke ReconstructionWenran Zhang, Yuxiang Cai, Letian Huang, Dongwei Ye 等SIGGRAPH 2026
- LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid ReconstructionNingxiao Tao, Baoquan Chen, Mengyu ChuSIGGRAPH 2026
