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Recent advances in neural rendering have shown great potential for reconstructing scenes from multiview images.
A reflectance model for computer graphics
Robert L Cook and Kenneth E. Torrance · 1982
Earlier work this paper cites.
The rendering equation
James T Kajiya · 1986
Earlier work this paper cites.
Optical models for direct volume rendering
Nelson Max · 1995
Earlier work this paper cites.
Proposal for a standard default color space for the internet—srgb
Matthew Anderson, Ricardo Motta, Srinivasan Chandrasekar, and Michael Stokes · 1996
Earlier work this paper cites.
The lumigraph
Steven J Gortler, Radek Grzeszczuk, Richard Szeliski, and Michael F Cohen · 1996
Earlier work this paper cites.
Light field rendering
Marc Levoy and Pat Hanrahan · 1996
Earlier work this paper cites.
Inverse rendering for computer graphics
Stephen Robert Marschner · 1998
Earlier work this paper cites.
Surface light fields for 3d photography
Daniel N Wood, Daniel I Azuma, Ken Aldinger, Brian Curless, Tom Duchamp, David H Salesin, and Werner Stuetzle · 2000
Earlier work this paper cites.
Microfacet models for refraction through rough surfaces
Bruce Walter, Stephen R Marschner, Hongsong Li, and Kenneth E Torrance · 2007
Earlier work this paper cites.
Unstructured light fields
Abe Davis, Marc Levoy, and Fredo Durand · 2012
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Filament: a real-time physically based rendering engine
Mathias Agopian Romain Guy · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Stereo magnification: Learning view synthesis using multiplane images
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely · 2018
Earlier work this paper cites.
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
Earlier work this paper cites.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Earlier work this paper cites.
Sal: Sign agnostic learning of shapes from raw data
Matan Atzmon and Yaron Lipman · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
Implicit geometric regularization for learning shapes
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, and Yaron Lipman · 2020
Earlier work this paper cites.
Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
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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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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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State of the art on neural rendering
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, et al · 2020
Cited alongside, same era.
Multiview neural surface reconstruction by disentangling geometry and appearance
Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman · 2020
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Rotation-equivariant conditional spherical neural fields for learning a natural illumination prior
James AD Gardner, Bernhard Egger, and William AP Smith · 2022
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Nerfren: Neural radiance fields with reflections
Yuan-Chen Guo, Di Kang, Linchao Bao, Yu He, and Song-Hai Zhang · 2022
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Shape, light & material decomposition from images using monte carlo rendering and denoising
Jon Hasselgren, Nikolai Hofmann, and Jacob Munkberg · 2022
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Neural point catacaustics for novel-view synthesis of reflections
Georgios Kopanas, Thomas Leimkühler, Gilles Rainer, Clément Jambon, and George Drettakis · 2022
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Spidr: Sdf-based neural point fields for illumination and deformation
Ruofan Liang, Jiahao Zhang, Haoda Li, Chen Yang, and Nandita Vijaykumar · 2022
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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
Mark Boss, Raphael Braun, Varun Jampani, Jonathan T Barron, Ce Liu, and Hendrik Lensch · 2021
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Neural-pil: Neural pre-integrated lighting for reflectance decomposition
Mark Boss, Varun Jampani, Raphael Braun, Ce Liu, Jonathan Barron, and Hendrik Lensch · 2021
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Baking neural radiance fields for real-time view synthesis
Peter Hedman, Pratul P Srinivasan, Ben Mildenhall, Jonathan T Barron, and Paul Debevec · 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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Ref-nerf: Structured view-dependent appearance for neural radiance fields
Dor Verbin, Peter Hedman, Ben Mildenhall, Todd Zickler, Jonathan T Barron, and Pratul P Srinivasan · 2021
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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
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Magic3d: High-resolution text-to-3d content creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin · 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
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
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Block-nerf: Scalable large scene neural view synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P Srinivasan, Jonathan T Barron, and Henrik Kretzschmar · 2022
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Orca: Glossy objects as radiance field cameras
Kushagra Tiwary, Askhat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, and Ramesh Raskar · 2022
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Go-surf: Neural feature grid optimization for fast, high-fidelity rgb-d surface reconstruction
Jingwen Wang, Tymoteusz Bleja, and Lourdes Agapito · 2022
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Voxurf: Voxel-based efficient and accurate neural surface reconstruction
Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, and Dahua Lin · 2022
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Scalable neural indoor scene rendering
Xiuchao Wu, Jiamin Xu, Zihan Zhu, Hujun Bao, Qixing Huang, James Tompkin, and Weiwei Xu · 2022
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Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, and Andreas Geiger · 2022
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Modeling indirect illumination for inverse rendering
Yuanqing Zhang, Jiaming Sun, Xingyi He, Huan Fu, Rongfei Jia, and Xiaowei Zhou · 2022
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Nerfstudio: A modular framework for neural radiance field development
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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