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Existing neural radiance fields (NeRF) methods for large-scale scene modeling require days of training using multiple GPUs, hindering their applications in scenarios with limited computing resources.
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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 · 2020
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Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, and Yaron Lipman · 2020
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NeRF++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
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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
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NeRD: Neural reflectance decomposition from image collections
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Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
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Pixel-perfect structure-from-motion with featuremetric refinement
Plenoxels: Radiance fields without neural networks
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Reconstructing personalized semantic facial nerf models from monocular video
Xuan Gao, Chenglai Zhong, Jun Xiang, Yang Hong, Yudong Guo, and Juyong Zhang · 2022
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Neural deformable voxel grid for fast optimization of dynamic view synthesis
Xiang Guo, Guanying Chen, Yuchao Dai, Xiaoqing Ye, Jiadai Sun, Xiao Tan, and Errui Ding · 2022
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Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, and Jiaya Jia · 2022
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Efficient neural radiance fields for interactive free-viewpoint video
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Capturing, reconstructing, and simulating: the urbanscene3d dataset
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NeRF in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
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Donerf: Towards real-time rendering of compact neural radiance fields using depth oracle networks
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D-NeRF: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
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Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger · 2021
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Stable view synthesis
Gernot Riegler and Vladlen Koltun · 2021
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Instant neural graphics primitives with a multiresolution hash encoding
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Urban radiance fields
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Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
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Improved direct voxel grid optimization for radiance fields reconstruction
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Block-nerf: Scalable large scene neural view synthesis
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Fourier plenoctrees for dynamic radiance field rendering in real-time
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Diver: Real-time and accurate neural radiance fields with deterministic integration for volume rendering
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Scalable neural indoor scene rendering
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Bungeenerf: Progressive neural radiance field for extreme multi-scale scene rendering
Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua Lin · 2022
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Neural fields in visual computing and beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, and Srinath Sridhar · 2022
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Point-nerf: Point-based neural radiance fields
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PS-NeRF: Neural inverse rendering for multi-view photometric stereo
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Nerfusion: Fusing radiance fields for large-scale scene reconstruction
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Hexplane: a fast representation for dynamic scenes
Ang Cao and Justin Johnson · 2023
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K-planes: Explicit radiance fields in space, time, and appearance
Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, and Angjoo Kanazawa · 2023
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