Fetching the paper…
Reading the bibliography…
Gaussian Splatting (GS) has proven to be highly effective in novel view synthesis, achieving high-quality and real-time rendering.
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. 2019 · 1912
Earlier work this paper cites.
A space-sweep approach to true multi-image matching. In Conference on Computer Vision and Pattern Recognition (CVPR)
Robert Collins. 1996 · 1996
Earlier work this paper cites.
Marching cubes: A high resolution 3D surface construction algorithm
William E Lorensen and Harvey E Cline. 1998 · 1998
Earlier work this paper cites.
Computing visual correspondence with occlusions using graph cuts. In ICCV . IEEE
Vladimir Kolmogorov and Ramin Zabih. 2001 · 2001
Earlier work this paper cites.
EWA splatting
Matthias Zwicker, Hanspeter Pfister, Jeroen Van Baar, and Markus Gross. 2002 · 2002
Earlier work this paper cites.
Stereo matching using belief propagation
Jian Sun, Nan-Ning Zheng, and Heung-Yeung Shum. 2003 · 2003
Earlier work this paper cites.
What energy functions can be minimized via graph cuts?
Vladimir Kolmogorov and Ramin Zabin. 2004 · 2004
Earlier work this paper cites.
PatchMatch: A randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B Goldman. 2009 · 2009
Earlier work this paper cites.
PatchMatch Stereo - Stereo Matching with Slanted Support Windows. In BMVC
Michael Bleyer, Christoph Rhemann, and Carsten Rother. 2011 · 2011
Earlier work this paper cites.
Kinectfusion: Real-time dense surface mapping and tracking. In 2011 10th IEEE international symposium on mixed and augmented reality . Ieee, 127–136
Richard A Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J Davison, Pushmeet Kohi, Jamie Shotton, Steve Hodges, and Andrew Fitzgibbon. 2011 · 2011
Earlier work this paper cites.
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration. In International Conference on Computer Vision (ICCV)
Christopher Zach, Thomas Pock, and Horst Bischof. 2011 · 2011
Earlier work this paper cites.
Mve-a multi-view reconstruction environment
Simon Fuhrmann, Fabian Langguth, and Michael Goesele. 2014 · 2014
Earlier work this paper cites.
Large scale multi-view stereopsis evaluation. In Proceedings of the IEEE conference on computer vision and pattern recognition . 406–413
Rasmus Jensen, Anders Dahl, George Vogiatzis, Engin Tola, and Henrik Aanæs. 2014 · 2014
Earlier work this paper cites.
Efficient Deep Learning for Stereo Matching. In Conference on Computer Vision and Pattern Recognition (CVPR)
Jure Zbontar and Yann LeCun. 2015 · 2015
Earlier work this paper cites.
Computing the Stereo Matching Cost with a Convolutional Neural Network. In Conference on Computer Vision and Pattern Recognition (CVPR)
Wenjie Luo, Alexander G. Schwing, and Raquel Urtasun. 2016 · 2016
Earlier work this paper cites.
Structure-from-Motion Revisited. In Conference on Computer Vision and Pattern Recognition (CVPR)
Johannes Lutz Schönberger and Jan-Michael Frahm. 2016 · 2016
Earlier work this paper cites.
End-to-End Learning of Geometry and Context for Deep Stereo Regression. In Conference on Computer Vision and Pattern Recognition (CVPR)
Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, and Adam Bry. 2017 · 2017
Cited alongside, same era.
Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun. 2017 · 2017
Cited alongside, same era.
Mvsnet: Depth inference for unstructured multi-view stereo. In Proceedings of the European conference on computer vision (ECCV) . 767–783
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan. 2018 · 2018
Cited alongside, same era.
Adaptive-resolution octree-based volumetric SLAM. In 2019 International Conference on 3D Vision (3DV) . IEEE, 654–662
Emanuele Vespa, Nils Funk, Paul HJ Kelly, and Stefan Leutenegger. 2019 · 2019
Cited alongside, same era.
Cascade cost volume for high-resolution multi-view stereo and stereo matching. In Conference on Computer Vision and Pattern Recognition (CVPR) . 2495–2504
Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, and Andreas Geiger. 2022 · 2022
Later among the works it cites.
Neusg: Neural implicit surface reconstruction with 3d gaussian splatting guidance
Hanlin Chen, Chen Li, and Gim Hee Lee. 2023b · 2023
Later among the works it cites.
Lightgaussian: Unbounded 3d gaussian compression with 15x reduction and 200+ fps
Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, and Zhangyang Wang. 2023 · 2023
Later among the works it cites.
Antoine Guédon and Vincent Lepetit. 2023 · 2023
Later among the works it cites.
GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, and Ping Tan. 2020 · 2020
Cited alongside, same era.
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 5855–5864
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan. 2021 · 2021
Cited alongside, same era.
Baking neural radiance fields for real-time view synthesis. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 5875–5884
Peter Hedman, Pratul P Srinivasan, Ben Mildenhall, Jonathan T Barron, and Paul Debevec. 2021 · 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 · 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 · 2021
Cited alongside, same era.
Volume rendering of neural implicit surfaces
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman. 2021 · 2021
Cited alongside, same era.
Plenoctrees for real-time rendering of neural radiance fields. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 5752–5761
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa. 2021 · 2021
Cited alongside, same era.
Mip-nerf 360: Unbounded anti-aliased neural radiance fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5470–5479
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman. 2022 · 2022
Cited alongside, same era.
Yingwenqi Jiang, Jiadong Tu, Yuan Liu, Xifeng Gao, Xiaoxiao Long, Wenping Wang, and Yuexin Ma. 2023 · 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 · 2023
Later among the works it cites.
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 · 2023
Later among the works it cites.
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 · 2023
Later among the works it cites.
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 · 2024
Closest in time.
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao. 2024 · 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, et al · 2024
Closest in time.
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, and Chang-Tien Lu. 2024 · 2024
Closest in time.
GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction
Mulin Yu, Tao Lu, Linning Xu, Lihan Jiang, Yuanbo Xiangli, and Bo Dai. 2024b · 2024
Closest in time.
Mip-Splatting: Alias-free 3D Gaussian Splatting
Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, and Andreas Geiger. 2024a · 2024
Closest in time.
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
Zehao Yu, Torsten Sattler, and Andreas Geiger. 2024c · 2024
Closest in time.