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Recent approaches representing 3D objects and scenes using Gaussian splats show increased rendering speed across a variety of platforms and devices.
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Unstructured lumigraph rendering
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Dictionary fields: Learning a neural basis decomposition
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Shenchang Eric Chen and Lance Williams. 2023 · 2023
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3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 2023 · 2023
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Light field rendering
Marc Levoy and Pat Hanrahan. 2023 · 2023
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Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, and Bo Dai. 2023 · 2023
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Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan. 2023 · 2023
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4d gaussian splatting for real-time dynamic scene rendering
Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang. 2023 · 2023
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Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction
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LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, and Zhangyang Wang. 2024 · 2024
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LightSpeed: Light and Fast Neural Light Fields on Mobile Devices
Aarush Gupta, Junli Cao, Chaoyang Wang, Ju Hu, Sergey Tulyakov, Jian Ren, and László Jeni. 2024 · 2024
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Compact 3D Gaussian Representation for Radiance Field
Joo Chan Lee, Daniel Rho, Xiangyu Sun, Jong Hwan Ko, and Eunbyung Park. 2024 · 2024
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