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The recent advances in 3D Gaussian Splatting (3DGS) show promising results on the novel view synthesis (NVS) task.
Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
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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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Photo tourism: exploring photo collections in 3d
Noah Snavely, Steven M. Seitz, and Richard Szeliski · 2006
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Distributed optimization and statistical learning via the alternating direction method of multipliers
Stephen P. Boyd, Neal Parikh, Eric Chu, Borja Peleato, and Jonathan Eckstein · 2011
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Divide and conquer: Efficient large-scale structure from motion using graph partitioning
Brojeshwar Bhowmick, Suvam Patra, Avishek Chatterjee, Venu Madhav Govindu, and Subhashis Banerjee · 2014
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A consensus-based framework for distributed bundle adjustment
Anders P. Eriksson, John Bastian, Tat-Jun Chin, and Mats Isaksson · 2016
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Structure-from-motion revisited
Johannes L. Schönberger and Jan-Michael Frahm · 2016
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Distributed very large scale bundle adjustment by global camera consensus
Runze Zhang, Siyu Zhu, Tian Fang, and Long Quan · 2017
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Very large-scale global sfm by distributed motion averaging
Siyu Zhu, Runze Zhang, Lei Zhou, Tianwei Shen, Tian Fang, Ping Tan, and Long Quan · 2018
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Graph-based parallel large scale structure from motion
Yu Chen, Shuhan Shen, Yisong Chen, and Guoping Wang · 2020
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Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
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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 · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng · 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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Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo
Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, and Hao Su · 2021
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Hybrid rotation averaging: A fast and robust rotation averaging approach
Yu Chen, Ji Zhao, and Laurent Kneip · 2021
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BARF: bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
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Urbanscene3d: A large scale urban scene dataset and simulator
Yilin Liu, Fuyou Xue, and Hui Huang · 2021
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Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Gnerf: Gan-based neural radiance field without posed camera
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, and Jingyi Yu · 2021
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Ibrnet: Learning multi-view image-based rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas A. Funkhouser · 2021
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Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, and Jie Zhou · 2021
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Plenoctrees for real-time rendering of neural radiance fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa · 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
Cited alongside, same era.
Tensorf: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
Cited alongside, same era.
Depth-supervised NeRF: Fewer views and faster training for free
Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps, 2023
Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, and Zhangyang Wang · 2023
Later among the works it cites.
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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Scaffold-gs: Structured 3d gaussians for view-adaptive rendering, 2023
Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin 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
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Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan · 2022
Cited alongside, same era.
Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
Cited alongside, same era.
nerf2nerf: Pairwise registration of neural radiance fields
Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, and Andrea Tagliasacchi · 2022
Cited alongside, same era.
Geonerf: Generalizing nerf with geometry priors
Mohammad Mahdi Johari, Yann Lepoittevin, and François Fleuret · 2022
Cited alongside, same era.
Neural rays for occlusion-aware image-based rendering
Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, and Wenping Wang · 2022
Cited alongside, same era.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
Cited alongside, same era.
Urban radiance fields
Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, and Vittorio Ferrari · 2022
Cited alongside, same era.
KL Navaneet, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, and Hamed Pirsiavash · 2023
Later among the works it cites.
SUDS: scalable urban dynamic scenes
Haithem Turki, Jason Y. Zhang, Francesco Ferroni, and Deva Ramanan · 2023
Later among the works it cites.
Grid-guided neural radiance fields for large urban scenes
Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, and Dahua Lin · 2023
Later among the works it cites.
Multi-scale 3d gaussian splatting for anti-aliased rendering
Zhiwen Yan, Weng Fei Low, Yu Chen, and Gim Hee Lee · 2023
Later among the works it cites.
Mip-splatting: Alias-free 3d gaussian splatting
Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, and Andreas Geiger · 2023
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Fsgs: Real-time few-shot view synthesis using gaussian splatting, 2023
Zehao Zhu, Zhiwen Fan, Yifan Jiang, and Zhangyang Wang · 2023
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Gaussianpro: 3d gaussian splatting with progressive propagation
Kai Cheng, Xiaoxiao Long, Kaizhi Yang, Yao Yao, Wei Yin, Yuexin Ma, Wenping Wang, and Xuejin Chen · 2024
Closest in time.
Splatam: Splat, track and map 3d gaussians for dense rgb-d slam
Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, and Jonathon Luiten · 2024
Closest in time.
A hierarchical 3d gaussian representation for real-time rendering of very large datasets
Bernhard Kerbl, Andreas Meuleman, Georgios Kopanas, Michael Wimmer, Alexandre Lanvin, and George Drettakis · 2024
Closest in time.
Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization
Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, and Lin Gu · 2024
Closest in time.
Vastgaussian: Vast 3d gaussians for large scene reconstruction
Jiaqi Lin, Zhihao Li, Xiao Tang, Jianzhuang Liu, Shiyong Liu, Jiayue Liu, Yangdi Lu, Xiaofei Wu, Songcen Xu, Youliang Yan, and Wenming Yang · 2024
Closest in time.
Gaussian Splatting SLAM
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly, and Andrew J. Davison · 2024
Closest in time.
Octree-gs: Towards consistent real-time rendering with lod-structured 3d gaussians, 2024
Kerui Ren, Lihan Jiang, Tao Lu, Mulin Yu, Linning Xu, Zhangkai Ni, and Bo Dai · 2024
Closest in time.
Real-time view synthesis for large scenes with millions of square meters
Qing Shuai, Haoyu Guo, Zhen Xu, Haotong Lin, Sida Peng, Hujun Bao, and Xiaowei Zhou · 2024
Closest in time.
Fed3dgs: Scalable 3d gaussian splatting with federated learning
Teppei Suzuki · 2024
Closest in time.
Sags: Structure-aware 3d gaussian splatting
Evangelos Ververas, Rolandos Alexandros Potamias, Jifei Song, Jiankang Deng, and Stefanos Zafeiriou · 2024
Closest in time.