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Neural Radiance Fields (NeRF) show impressive performance for the photorealistic free-view rendering of scenes.
View Interpolation for Image Synthesis. In Proceedings of the Computer Graphics and Interactive Techniques (SIGGRAPH)
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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 · 2004
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NeRF++: Analyzing and Improving Neural Radiance Fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun. 2020 · 2010
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Hole Filling Method for Depth Image Based Rendering Based on Boundary Decision
Jea-Hyung Cho, Wonseok Song, Hyuk Choi, and Taejeong Kim. 2017 · 2017
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018 · 2018
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Stereo Magnification: Learning View Synthesis Using Multiplane Images
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely. 2018 · 2018
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Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy Ren, and Rynson W.H. Lau. 2019 · 2019
Earlier work this paper cites.
Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
Ben Mildenhall, Pratul P. Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar. 2019 · 2019
Earlier work this paper cites.
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In Proceedings of the European Conference on Computer Vision (ECCV)
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020 · 2020
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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 · 2021
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Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Julian Chibane, Aayush Bansal, Verica Lazova, and Gerard Pons-Moll. 2021 · 2021
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Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
Ajay Jain, Matthew Tancik, and Pieter Abbeel. 2021 · 2021
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Learned Initializations for Optimizing Coordinate-Based Neural Representations. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, and Ren Ng. 2021 · 2021
Earlier work this paper cites.
GRF: Learning a General Radiance Field for 3D Representation and Rendering. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
Alex Trevithick and Bo Yang. 2021 · 2021
Earlier work this paper cites.
IBRNet: Learning Multi-View Image-Based Rendering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser. 2021 · 2021
Earlier work this paper cites.
Volume Rendering of Neural Implicit Surfaces. In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS)
Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman. 2021 · 2021
Cited alongside, same era.
pixelNeRF: Neural Radiance Fields From One or Few Images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa. 2021 · 2021
Cited alongside, same era.
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild. In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS)
Jason Zhang, Gengshan Yang, Shubham Tulsiani, and Deva Ramanan. 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 (CVPR)
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman. 2022 · 2022
Cited alongside, same era.
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T. Barron, and Pratul P. Srinivasan. 2022 · 2022
Later among the works it cites.
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. In Proceedings of the European Conference on Computer Vision (ECCV)
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, and Zhangyang Wang. 2022 · 2022
Later among the works it cites.
NeRF-Editing: Geometry Editing of Neural Radiance Fields. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, and Lin Gao. 2022 · 2022
Later among the works it cites.
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
Wenjing Bian, Zirui Wang, Kejie Li, Jia-Wang Bian, and Victor Adrian Prisacariu. 2023 · 2023
Closest in time.
Explicit Correspondence Matching for Generalizable Neural Radiance Fields
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Matteo Bortolon, Alessio Del Bue, and Fabio Poiesi. 2022 · 2022
Cited alongside, same era.
FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
Nianchen Deng, Zhenyi He, Jiannan Ye, Budmonde Duinkharjav, Praneeth Chakravarthula, Xubo Yang, and Qi Sun. 2022a · 2022
Cited alongside, same era.
GeoNeRF: Generalizing NeRF With Geometry Priors. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Mohammad Mahdi Johari, Yann Lepoittevin, and François Fleuret. 2022 · 2022
Cited alongside, same era.
Revealing Disocclusions in Temporal View Synthesis through Infilling Vector Prediction. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV)
Vijayalakshmi Kanchana, Nagabhushan Somraj, Suraj Yadwad, and Rajiv Soundararajan. 2022 · 2022
Cited alongside, same era.
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Mijeong Kim, Seonguk Seo, and Bohyung Han. 2022 · 2022
Cited alongside, same era.
Deblur-NeRF: Neural Radiance Fields From Blurry Images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, and Pedro V. Sander. 2022 · 2022
Cited alongside, same era.
NeRF in the Dark: High Dynamic Range View Synthesis From Noisy Raw Images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan, and Jonathan T. Barron. 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.
Yuedong Chen, Haofei Xu, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai. 2023 · 2023
Closest in time.
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency
Minseop Kwak, Jiuhn Song, and Seungryong Kim. 2023 · 2023
Closest in time.
ExtremeNeRF: Few-shot Neural Radiance Fields Under Unconstrained Illumination
SeokYeong Lee, JunYong Choi, Seungryong Kim, Ig-Jae Kim, and Junghyun Cho. 2023 · 2023
Closest in time.
Vision Transformer for NeRF-Based View Synthesis From a Single Input Image. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Kai-En Lin, Yen-Chen Lin, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, and Ravi Ramamoorthi. 2023 · 2023
Closest in time.
Plotting Behind the Scenes: Towards Learnable Game Engines
Willi Menapace, Aliaksandr Siarohin, Stéphane Lathuilière, Panos Achlioptas, Vladislav Golyanik, Elisa Ricci, and Sergey Tulyakov. 2023 · 2023
Closest in time.
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Seunghyeon Seo, Donghoon Han, Yeonjin Chang, and Nojun Kwak. 2023 · 2023
Closest in time.
ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields. In Proceedings of the ACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH)
Nagabhushan Somraj and Rajiv Soundararajan. 2023 · 2023
Closest in time.
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas Guibas, and Ke Li. 2023 · 2023
Closest in time.
SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
Guangcong Wang, Zhaoxi Chen, Chen Change Loy, and Ziwei Liu. 2023 · 2023
Closest in time.
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
Jamie Wynn and Daniyar Turmukhambetov. 2023 · 2023
Closest in time.
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Jiawei Yang, Marco Pavone, and Yue Wang. 2023 · 2023
Closest in time.
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization
Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, and Leonidas Guibas. 2023 · 2023
Closest in time.