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The rendering scheme in neural radiance field (NeRF) is effective in rendering a pixel by casting a ray into the scene.
Texture mapping polygons in perspective
Paul S Heckbert et al · 1983
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Pyramidal parametrics
Lance Williams · 1983
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Optical models for direct volume rendering
Nelson Max · 1995
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The lumigraph
Steven J Gortler, Radek Grzeszczuk, Richard Szeliski, and Michael F Cohen · 1996
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Light field rendering
Marc Levoy and Pat Hanrahan · 1996
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Mip-map level selection for texture mapping
Jon P Ewins, Marcus D Waller, Martin White, and Paul F Lister · 1998
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Layered depth images
Jonathan Shade, Steven Gortler, Li-wei He, and Richard Szeliski · 1998
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Tracing ray differentials
Homan Igehy · 1999
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Unstructured lumigraph rendering
Chris Buehler, Michael Bosse, Leonard McMillan, Steven Gortler, and Michael Cohen · 2001
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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
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Parallel controllable texture synthesis
Sylvain Lefebvre and Hugues Hoppe · 2005
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An improved illumination model for shaded display
Turner Whitted · 2005
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Beyond triangles: gigavoxels effects in video games
Cyril Crassin, Fabrice Neyret, Sylvain Lefebvre, Miguel Sainz, and Elmar Eisemann · 2009
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Linear view synthesis using a dimensionality gap light field prior
Anat Levin and Fredo Durand · 2010
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Lean mapping
Marc Olano and Dan Baker · 2010
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A survey of nonlinear prefiltering methods for efficient and accurate surface shading
Eric Bruneton and Fabrice Neyret · 2011
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Unstructured light fields
Abe Davis, Marc Levoy, and Fredo Durand · 2012
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Light field reconstruction using sparsity in the continuous fourier domain
Lixin Shi, Haitham Hassanieh, Abe Davis, Dina Katabi, and Fredo Durand · 2014
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Filtering distributions of normals for shading antialiasing
Anton S Kaplanyan, Stephan Hill, Anjul Patney, and Aaron E Lefohn · 2016
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Layer-structured 3d scene inference via view synthesis
Shubham Tulsiani, Richard Tucker, and Noah Snavely · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 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
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Texture level of detail strategies for real-time ray tracing
Tomas Akenine-Möller, Jim Nilsson, Magnus Andersson, Colin Barré-Brisebois, Robert Toth, and Tero Karras · 2019
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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 Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, and Richard Tucker · 2019
Cited alongside, same era.
Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Deepvoxels: Learning persistent 3d feature embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhofer · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Derf: Decomposed radiance fields
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, and Andrea Tagliasacchi · 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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Light field networks: Neural scene representations with single-evaluation rendering
Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, and Fredo Durand · 2021
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Nerv: Neural reflectance and visibility fields for relighting and view synthesis
Pratul P Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, and Jonathan T Barron · 2021
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Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, and Christian Theobalt · 2021
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Accurate appearance preserving prefiltering for rendering displacement-mapped surfaces
Lifan Wu, Shuang Zhao, Ling-Qi Yan, and Ravi Ramamoorthi · 2019
Cited alongside, same era.
Neural reflectance fields for appearance acquisition
Sai Bi, Zexiang Xu, Pratul Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, and Ravi Ramamoorthi · 2020
Cited alongside, same era.
Crowdsampling the plenoptic function
Zhengqi Li, Wenqi Xian, Abe Davis, and Noah Snavely · 2020
Cited alongside, same era.
Graf: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
Cited alongside, same era.
3d photography using context-aware layered depth inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf, and Jia-Bin Huang · 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
Cited alongside, same era.
pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
Cited alongside, same era.
Grf: Learning a general radiance field for 3d representation and rendering
Alex Trevithick and Bo Yang · 2021
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Ibrnet: Learning multi-view image-based rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P Srinivasan, Howard Zhou, Jonathan T Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser · 2021
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Nex: Real-time view synthesis with neural basis expansion
Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, and Supasorn Suwajanakorn · 2021
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Plenoctrees for real-time rendering of neural radiance fields
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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Nerfactor: Neural factorization of shape and reflectance under an unknown illumination
Xiuming Zhang, Pratul P Srinivasan, Boyang Deng, Paul Debevec, William T Freeman, and Jonathan T Barron · 2021
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Learning neural light fields with ray-space embedding
Benjamin Attal, Jia-Bin Huang, Michael Zollhöfer, Johannes Kopf, and Changil Kim · 2022
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Tensorf: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
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Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Shape, light, and material decomposition from images using monte carlo rendering and denoising
Jon Hasselgren, Nikolai Hofmann, and Jacob Munkberg · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Extracting triangular 3d models, materials, and lighting from images
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, and Sanja Fidler · 2022
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Nerf for outdoor scene relighting
Viktor Rudnev, Mohamed Elgharib, William Smith, Lingjie Liu, Vladislav Golyanik, and Christian Theobalt · 2022
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Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Cheng Sun, Min Sun, and Hwann-Tzong Chen · 2022
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Neumesh: Learning disentangled neural mesh-based implicit field for geometry and texture editing
Bangbang Yang, Chong Bao, Junyi Zeng, Hujun Bao, Yinda Zhang, Zhaopeng Cui, and Guofeng Zhang · 2022
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Nerf-editing: geometry editing of neural radiance fields
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, and Lin Gao · 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
Closest in time.
Mobilenerf: Exploiting the polygon rasterization pipeline for efficient neural field rendering on mobile architectures
Zhiqin Chen, Thomas Funkhouser, Peter Hedman, and Andrea Tagliasacchi · 2023
Closest in time.
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
Closest in time.