AbsGS: Recovering Fine Details for 3D Gaussian Splatting

The interpretation of structure from motion

Shimon Ullman. 1979 · 1979

Earlier work this paper cites.

Structure-from-motion revisited. In Proceedings of the IEEE conference on computer vision and pattern recognition . 4104–4113

Johannes L Schonberger and Jan-Michael Frahm. 2016 · 2016

Earlier work this paper cites.

Tanks and temples: Benchmarking large-scale scene reconstruction

Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun. 2017 · 2017

Earlier work this paper cites.

A survey of structure from motion*

Onur Özyeşil, Vladislav Voroninski, Ronen Basri, and Amit Singer. 2017 · 2017

Earlier work this paper cites.

Deep blending for free-viewpoint image-based rendering

Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, and Gabriel Brostow. 2018 · 2018

Earlier work this paper cites.

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. 2021b · 2021

Earlier work this paper cites.

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

Earlier work this paper cites.

Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields

Original

Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, and Steven M Seitz. 2021b · 2021

Earlier work this paper cites.

Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps. In Proceedings of the IEEE/CVF international conference on computer vision . 14335–14345

Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger. 2021 · 2021

Earlier work this paper cites.

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

Earlier work this paper cites.

Volume rendering of neural implicit surfaces

Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman. 2021 · 2021

Earlier work this paper cites.

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

Earlier work this paper cites.

TensoRF: Tensorial Radiance Fields. In European Conference on Computer Vision (ECCV)

Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su. 2022 · 2022

Earlier work this paper cites.

Plenoxels: Radiance fields without neural networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 5501–5510

Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa. 2022 · 2022

Earlier work this paper cites.

Monocular dynamic view synthesis: A reality check

Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, and Angjoo Kanazawa. 2022 · 2022

Cited alongside, same era.

Zero-shot text-guided object generation with dream fields. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 867–876

Ajay Jain, Ben Mildenhall, Jonathan T Barron, Pieter Abbeel, and Ben Poole. 2022 · 2022

Cited alongside, same era.

Instant neural graphics primitives with a multiresolution hash encoding

Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022

Cited alongside, same era.

Dreamfusion: Text-to-3d using 2d diffusion

Original

Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2022 · 2022

Cited alongside, same era.

Clip-nerf: Text-and-image driven manipulation of neural radiance fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3835–3844

Can Wang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao. 2022 · 2022

4d gaussian splatting for real-time dynamic scene rendering

Original

Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, and Xinggang Wang. 2023 · 2023

Later among the works it cites.

Level-S 2 fM: Structure From Motion on Neural Level Set of Implicit Surfaces. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 17205–17214

Yuxi Xiao, Nan Xue, Tianfu Wu, and Gui-Song Xia. 2023 · 2023

Later among the works it cites.

Gs-slam: Dense visual slam with 3d gaussian splatting

Original

Chi Yan, Delin Qu, Dong Wang, Dan Xu, Zhigang Wang, Bin Zhao, and Xuelong Li. 2023 · 2023

Later among the works it cites.

Cogs: Controllable gaussian splatting

Original

Heng Yu, Joel Julin, Zoltán Á Milacski, Koichiro Niinuma, and László A Jeni. 2023 · 2023

Later among the works it cites.