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3D Gaussian Splatting has demonstrated notable success in large-scale scene reconstruction, but challenges persist due to high training memory consumption and storage overhead.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Building rome in a day
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M Seitz, and Richard Szeliski · 2011
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3d scene reconstruction from video camera for virtual 3d city modeling
Surendra Pal Singh, Kamal Jain, and V Ravibabu Mandla · 2014
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Structure-from-motion revisited
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The unreasonable effectiveness of deep features as a perceptual metric
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Ilker Bozcan and Erdal Kayacan · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
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Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Neural scene graphs for dynamic scenes
Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, and Felix Heide · 2021
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D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
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Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Capturing, reconstructing, and simulating: the urbanscene3d dataset
Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, and Hui Huang · 2022
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Nerf in the dark: High dynamic range view synthesis from noisy raw images
Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P Srinivasan, and Jonathan T Barron · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
Michael Niemeyer, Jonathan T Barron, Ben Mildenhall, Mehdi SM Sajjadi, Andreas Geiger, and Noha Radwan · 2022
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Block-nerf: Scalable large scene neural view synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P Srinivasan, Jonathan T Barron, and Henrik Kretzschmar · 2022
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Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs
Haithem Turki, Deva Ramanan, and Mahadev Satyanarayanan · 2022
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Sinnerf: Training neural radiance fields on complex scenes from a single image
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, and Zhangyang Wang · 2022
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Dogs: Distributed-oriented gaussian splatting for large-scale 3d reconstruction via gaussian consensus
Yu Chen and Gim Hee Lee · 2024
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Flashgs: Efficient 3d gaussian splatting for large-scale and high-resolution rendering
Guofeng Feng, Siyan Chen, Rong Fu, Zimu Liao, Yi Wang, Tao Liu, Zhilin Pei, Hengjie Li, Xingcheng Zhang, and Bo Dai · 2024
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Ue4-nerf: Neural radiance field for real-time rendering of large-scale scene
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Vr-gs: A physical dynamics-aware interactive gaussian splatting system in virtual reality
Ying Jiang, Chang Yu, Tianyi Xie, Xuan Li, Yutao Feng, Huamin Wang, Minchen Li, Henry Lau, Feng Gao, Yin Yang, et al · 2024
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Gs-planner: A gaussian-splatting-based planning framework for active high-fidelity reconstruction
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Zip-nerf: Anti-aliased grid-based neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2023
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K-planes: Explicit radiance fields in space, time, and appearance
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, and Angjoo Kanazawa · 2023
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Matrixcity: A large-scale city dataset for city-scale neural rendering and beyond
Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, and Bo Dai · 2023
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Switch-nerf: Learning scene decomposition with mixture of experts for large-scale neural radiance fields
Zhenxing Mi and Dan Xu · 2023
Cited alongside, same era.
Merf: Memory-efficient radiance fields for real-time view synthesis in unbounded scenes
Christian Reiser, Rick Szeliski, Dor Verbin, Pratul Srinivasan, Ben Mildenhall, Andreas Geiger, Jon Barron, and Peter Hedman · 2023
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Nerf-is: Explicit neural radiance fields in semantic space
Jiansong Sha, Haoyu Zhang, Yuchen Pan, Guang Kou, and Xiaodong Yi · 2023
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Rui Jin, Yuman Gao, Yingjian Wang, Haojian Lu, and Fei Gao · 2024
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A hierarchical 3d gaussian representation for real-time rendering of very large datasets
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Langsplat: 3d language gaussian splatting
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Hybridnerf: Efficient neural rendering via adaptive volumetric surfaces
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Pygs: Large-scale scene representation with pyramidal 3d gaussian splatting
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Seasplat: Representing underwater scenes with 3d gaussian splatting and a physically grounded image formation model
Daniel Yang, John J. Leonard, and Yogesh Girdhar · 2024
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4d langsplat: 4d language gaussian splatting via multimodal large language models
Wanhua Li, Renping Zhou, Jiawei Zhou, Yingwei Song, Johannes Herter, Minghan Qin, Gao Huang, and Hanspeter Pfister · 2025
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Manigaussian: Dynamic gaussian splatting for multi-task robotic manipulation
Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, and Yansong Tang · 2025
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Efficient large-scale scene representation with a hybrid of high-resolution grid and plane features
Yuqi Zhang, Guanying Chen, and Shuguang Cui · 2025
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