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This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-NeRF) for novel view synthesis, which enables arbitrary input camera trajectories and only costs a few minutes for training.
Principal component analysis
Svante Wold, Kim Esbensen, and Paul Geladi · 1987
Earlier work this paper cites.
Total variation based image restoration with free local constraints
Leonid I Rudin and Stanley Osher · 1994
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Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach
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The lumigraph
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Earlier work this paper cites.
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Unstructured lumigraph rendering
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Earlier work this paper cites.
Linear view synthesis using a dimensionality gap light field prior
Anat Levin and Frédo Durand · 2010
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Unstructured light fields
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Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely · 2018
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Peeking behind objects: Layered depth prediction from a single image
Helisa Dhamo, Keisuke Tateno, Iro Laina, Nassir Navab, and Federico Tombari · 2019
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Deepview: View synthesis with learned gradient descent
John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, and Richard Tucker · 2019
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Stephen Lombardi, Tomas Simon, Jason M. Saragih, Gabriel Schwartz, Andreas M. Lehrmann, and Yaser Sheikh · 2019
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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
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Pytorch: An imperative style, high-performance deep learning library
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Deepvoxels: Learning persistent 3d feature embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhöfer · 2019
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Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
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Pushing the boundaries of view extrapolation with multiplane images
Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, and Noah Snavely · 2019
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Deferred neural rendering: image synthesis using neural textures
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Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa · 2021
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pixelnerf: Neural radiance fields from one or few images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021
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Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting
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Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul E. Debevec, William T. Freeman, and Jonathan T. Barron · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
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Implicit neural representations with periodic activation functions
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Single-view view synthesis with multiplane images
Richard Tucker and Noah Snavely · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
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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
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Advances in neural rendering
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Generalizable neural radiance fields for novel view synthesis with transformer
Dan Wang, Xinrui Cui, Septimiu Salcudean, and Z Jane Wang · 2022
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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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Point-nerf: Point-based neural radiance fields
Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, and Ulrich Neumann · 2022
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Plenoxels: Radiance fields without neural networks
Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Nerfstudio: A modular framework for neural radiance field development, 2023
Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Justin Kerr, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, David McAllister, and Angjoo Kanazawa · 2023
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