Compact 3D Gaussian Representation for Radiance Field
Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, Eunbyung Park
2024年份
137顶会引用
摘要
Figure 1. Our method achieves reduced storage and faster rendering speed while maintaining high-quality reconstruction of 3DGS [18]. The core idea is to effectively remove the redundant Gaussians that do not significantly contribute to the overall performance (the sparser distribution of Gaussian points and reduced ellipsoid redundancy shown in the figure). We also introduce a more compact representation of Gaussian attributes, resulting in markedly improved storage efficiency and rendering speed.
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引用它的顶会 Paper137
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- ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context ModelYufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang 等NeurIPS 2024 · 被引用 145 次
- LP-3DGS: Learning to Prune 3D Gaussian SplattingZhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang 等NeurIPS 2024 · 被引用 68 次
- LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPSWanhua Li, Yujie Zhao, Minghan Qin, Yang Liu 等NeurIPS 2025 · 被引用 54 次
- Dynamic 3D Gaussian Fields for Urban AreasTobias Fischer, Jonas Kulhanek, Samuel Rota Bulò, Lorenzo Porzi 等NeurIPS 2024 · 被引用 52 次
它引用的顶会 Paper33
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 被引用 5,687 次
- Instant neural graphics primitives with a multiresolution hash encodingThomas Müller, Alex Evans, Christoph Schied, Alexander KellerSIGGRAPH 2022 · 被引用 4,089 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
- Neural Sparse Voxel FieldsLingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua 等NeurIPS 2020 · 被引用 1,535 次
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