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In the rapidly evolving field of 3D reconstruction, 3D Gaussian Splatting (3DGS) and 2D Gaussian Splatting (2DGS) represent significant advancements.
Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1998
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Surfels: Surface elements as rendering primitives
Hanspeter Pfister, Matthias Zwicker, Jeroen Van Baar, and Markus Gross · 2000
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Optimal operators in digital image processing
Hanno Scharr · 2000
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Accurate, dense, and robust multiview stereopsis
Yasutaka Furukawa and Jean Ponce · 2009
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Patchmatch stereo-stereo matching with slanted support windows
Michael Bleyer, Christoph Rhemann, and Carsten Rother · 2011
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Robust kernel density estimation
JooSeuk Kim and Clayton D Scott · 2012
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Hardware-efficient bilateral filtering for stereo matching
Qingxiong Yang · 2013
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Large scale multi-view stereopsis evaluation
Rasmus Jensen, Anders Dahl, George Vogiatzis, Engin Tola, and Henrik Aanæs · 2014
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Truncated signed distance function: experiments on voxel size
Diana Werner, Ayoub Al-Hamadi, and Philipp Werner · 2014
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Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
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Learning non-maximum suppression
Jan Hosang, Rodrigo Benenson, and Bernt Schiele · 2017
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Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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Single-image depth estimation based on fourier domain analysis
Jae-Han Lee, Minhyeok Heo, Kyung-Rae Kim, and Chang-Su Kim · 2018
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Unsupervised learning of geometry from videos with edge-aware depth-normal consistency
Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, and Ramakant Nevatia · 2018
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Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
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Point-based multi-view stereo network
Rui Chen, Songfang Han, Jing Xu, and Hao Su · 2019
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Multi-scale geometric consistency guided multi-view stereo
Qingshan Xu and Wenbing Tao · 2019
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Cascade cost volume for high-resolution multi-view stereo and stereo matching
Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, and Ping Tan · 2020
Cited alongside, same era.
On the uncertainty of self-supervised monocular depth estimation
Matteo Poggi, Filippo Aleotti, Fabio Tosi, and Stefano Mattoccia · 2020
Cited alongside, same era.
Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement
Zehao Yu and Shenghua Gao · 2020
Cited alongside, same era.
Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Antoine Guédon and Vincent Lepetit · 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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Neuralangelo: High-fidelity neural surface reconstruction
Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H Taylor, Mathias Unberath, Ming-Yu Liu, and Chen-Hsuan Lin · 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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Efficient edge-preserving multi-view stereo network for depth estimation
Wanjuan Su and Wenbing Tao · 2023
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Urbanscene3d: A large scale urban scene dataset and simulator
Yilin Liu, Fuyou Xue, and Hui Huang · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Michael Oechsle, Songyou Peng, and Andreas Geiger · 2021
Cited alongside, same era.
Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang · 2021
Cited alongside, same era.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman · 2021
Cited alongside, same era.
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.
Transmvsnet: Global context-aware multi-view stereo network with transformers
Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, and Xiao Liu · 2022
Cited alongside, same era.
Cl-mvsnet: Unsupervised multi-view stereo with dual-level contrastive learning
Kaiqiang Xiong, Rui Peng, Zhe Zhang, Tianxing Feng, Jianbo Jiao, Feng Gao, and Ronggang Wang · 2023
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Bakedsdf: Meshing neural sdfs for real-time view synthesis
Lior Yariv, Peter Hedman, Christian Reiser, Dor Verbin, Pratul P Srinivasan, Richard Szeliski, Jonathan T Barron, and Ben Mildenhall · 2023
Later among the works it cites.
Fsgs: Real-time few-shot view synthesis using gaussian splatting, 2023
Zehao Zhu, Zhiwen Fan, Yifan Jiang, and Zhangyang Wang · 2023
Later among the works it cites.
2d gaussian splatting for geometrically accurate radiance fields
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao · 2024
Closest in time.
Fast generalizable gaussian splatting reconstruction from multi-view stereo
Tianqi Liu, Guangcong Wang, Shoukang Hu, Liao Shen, Xinyi Ye, Yuhang Zang, Zhiguo Cao, Wei Li, and Ziwei Liu · 2024
Closest in time.
Scaffold-gs: Structured 3d gaussians for view-adaptive rendering
Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, and Bo Dai · 2024
Closest in time.
Sa-gs: Scale-adaptive gaussian splatting for training-free anti-aliasing
Xiaowei Song, Jv Zheng, Shiran Yuan, Huan-ang Gao, Jingwei Zhao, Xiang He, Weihao Gu, and Hao Zhao · 2024
Closest in time.
Dn-splatter: Depth and normal priors for gaussian splatting and meshing, 2024
Matias Turkulainen, Xuqian Ren, Iaroslav Melekhov, Otto Seiskari, Esa Rahtu, and Juho Kannala · 2024
Closest in time.
Surface reconstruction from gaussian splatting via novel stereo views
Yaniv Wolf, Amit Bracha, and Ron Kimmel · 2024
Closest in time.
Gomvs: Geometrically consistent cost aggregation for multi-view stereo
Jiang Wu, Rui Li, Haofei Xu, Wenxun Zhao, Yu Zhu, Jinqiu Sun, and Yanning Zhang · 2024
Closest in time.
Multi-scale 3d gaussian splatting for anti-aliased rendering
Zhiwen Yan, Weng Fei Low, Yu Chen, and Gim Hee Lee · 2024
Closest in time.
Rade-gs: Rasterizing depth in gaussian splatting
Baowen Zhang, Chuan Fang, Rakesh Shrestha, Yixun Liang, Xiaoxiao Long, and Ping Tan · 2024
Closest in time.