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3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction, achieving high quality novel view synthesis and fast rendering speed without baking.
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EWA volume splatting. In Proceedings Visualization, 2001. VIS’01. IEEE, 29–538
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Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction
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Unsupervised learning of shape and pose with differentiable point clouds
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MVSNet: Depth Inference for Unstructured Multi-view Stereo
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Open3D: A Modern Library for 3D Data Processing
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Occupancy Networks: Learning 3D Reconstruction in Function Space. In Conference on Computer Vision and Pattern Recognition (CVPR)
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove. 2019 · 2019
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Surfelmeshing: Online surfel-based mesh reconstruction
Thomas Schöps, Torsten Sattler, and Marc Pollefeys. 2019 · 2019
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Differentiable surface splatting for point-based geometry processing
Wang Yifan, Felice Serena, Shihao Wu, Cengiz Öztireli, and Olga Sorkine-Hornung. 2019 · 2019
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Neural point-based graphics. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXII 16 . Springer, 696–712
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Neural Sparse Voxel Fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt. 2020 · 2020
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In ECCV
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
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Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision. In Conference on Computer Vision and Pattern Recognition (CVPR)
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger. 2020 · 2020
Cited alongside, same era.
SynSin: End-to-end View Synthesis from a Single Image. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman. 2020 · 2020
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Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement. In Conference on Computer Vision and Pattern Recognition (CVPR)
Zehao Yu and Shenghua Gao. 2020 · 2020
Cited alongside, same era.
Improved Direct Voxel Grid Optimization for Radiance Fields Reconstruction
Cheng Sun, Min Sun, and Hwann-Tzong Chen. 2022b · 2022
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MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, and Andreas Geiger. 2022b · 2022
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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 · 2023
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NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance
Hanlin Chen, Chen Li, and Gim Hee Lee. 2023b · 2023
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Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing
Jian Gao, Chun Gu, Youtian Lin, Hao Zhu, Xun Cao, Li Zhang, and Yao Yao. 2023 · 2023
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Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun. 2020 · 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 · 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.
Point-Based Neural Rendering with Per-View Optimization. In Computer Graphics Forum , Vol. 40. Wiley Online Library, 29–43
Georgios Kopanas, Julien Philip, Thomas Leimkühler, and George Drettakis. 2021 · 2021
Cited alongside, same era.
Pulsar: Efficient sphere-based neural rendering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1440–1449
Christoph Lassner and Michael Zollhofer. 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.
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction. In International Conference on Computer Vision (ICCV)
Michael Oechsle, Songyou Peng, and Andreas Geiger. 2021 · 2021
Cited alongside, same era.
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. In International Conference on Computer Vision (ICCV)
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. 2021 · 2021
Cited alongside, same era.
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Antoine Guédon and Vincent Lepetit. 2023 · 2023
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Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields. In ICCV
Wenbo Hu, Yuling Wang, Lin Ma, Bangbang Yang, Lin Gao, Xiao Liu, and Yuewen Ma. 2023 · 2023
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GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
Yingwenqi Jiang, Jiadong Tu, Yuan Liu, Xifeng Gao, Xiaoxiao Long, Wenping Wang, and Yuexin Ma. 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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Flexible techniques for differentiable rendering with 3d gaussians
Leonid Keselman and Martial Hebert. 2023 · 2023
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Neuralangelo: High-Fidelity Neural Surface Reconstruction. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H Taylor, Mathias Unberath, Ming-Yu Liu, and Chen-Hsuan Lin. 2023 · 2023
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GS-IR: 3D Gaussian Splatting for Inverse Rendering
Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, and Kui Jia. 2023 · 2023
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GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, and Matthias Nießner. 2023 · 2023
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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
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GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization
Yahao Shi, Yanmin Wu, Chenming Wu, Xing Liu, Chen Zhao, Haocheng Feng, Jingtuo Liu, Liangjun Zhang, Jian Zhang, Bin Zhou, Errui Ding, and Jingdong Wang. 2023 · 2023
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NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
Yiming Wang, Qin Han, Marc Habermann, Kostas Daniilidis, Christian Theobalt, and Lingjie Liu. 2023 · 2023
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PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
Tianyi Xie, Zeshun Zong, Yuxing Qiu, Xuan Li, Yutao Feng, Yin Yang, and Chenfanfu Jiang. 2023 · 2023
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Street Gaussians for Modeling Dynamic Urban Scenes
Yunzhi Yan, Haotong Lin, Chenxu Zhou, Weijie Wang, Haiyang Sun, Kun Zhan, Xianpeng Lang, Xiaowei Zhou, and Sida Peng. 2023 · 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 · 2023
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Wojciech Zielonka, Timur Bagautdinov, Shunsuke Saito, Michael Zollhöfer, Justus Thies, and Javier Romero. 2023 · 2023
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Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis. In 3DV
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan. 2024 · 2024
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Mip-Splatting: Alias-free 3D Gaussian Splatting
Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, and Andreas Geiger. 2024 · 2024
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