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Volumetric scene representations enable photorealistic view synthesis for static scenes and form the basis of several existing 6-DoF video techniques.
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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Unstructured lumigraph rendering
Chris Buehler, Michael Bosse, Leonard McMillan, Steven Gortler, and Michael Cohen · 2001
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Image-Based Rendering
Heung-Yeung Shum, Shing-Chow Chan, and Sing Bing Kang · 2007
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Linearizing the plenoptic space
Gregoire Nieto, Frederic Devernay, and James Crowley · 2017
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Soft 3D reconstruction for view synthesis
Eric Penner and Li Zhang · 2017
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Dataset and pipeline for multi-view light-field video
Neus Sabater, Guillaume Boisson, Benoit Vandame, Paul Kerbiriou, Frederic Babon, Matthieu Hog, Remy Gendrot, Tristan Langlois, Olivier Bureller, Arno Schubert, et al · 2017
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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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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
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Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas 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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HoloGAN: Unsupervised learning of 3D representations from natural images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang · 2019
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An integrated 6DoF video camera and system design
Albert Parra Pozo, Michael Toksvig, Terry Filiba Schrager, Joyse Hsu, Uday Mathur, Alexander Sorkine-Hornung, Rick Szeliski, and Brian Cabral · 2019
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PyTorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Motion parallax for 360° RGBD video
Ana Serrano, Incheol Kim, Zhili Chen, Stephen DiVerdi, Diego Gutierrez, Aaron Hertzmann, and Belen Masia · 2019
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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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Neural point-based graphics
Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky · 2020
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MatryODShka: Real-time 6DoF video view synthesis using multi-sphere images
Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, and James Tompkin · 2020
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X-Fields: Implicit neural view-, light- and time-image interpolation
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, and Tobias Ritschel · 2020
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Immersive light field video with a layered mesh representation
Michael Broxton, John Flynn, Ryan Overbeck, Daniel Erickson, Peter Hedman, Matthew DuVall, Jason Dourgarian, Jay Busch, Matt Whalen, and Paul Debevec · 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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Capture, reconstruction, and representation of the visual real world for virtual reality
Christian Richardt, James Tompkin, and Gordon Wetzstein · 2020
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Free view synthesis
Gernot Riegler and Vladlen Koltun · 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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TöRF: Time-of-flight radiance fields for dynamic scene view synthesis
Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, and Matthew O’Toole · 2021
Cited alongside, same era.
TensoRF: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 2022
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NeRF: Neural radiance field in 3D vision, a comprehensive review
Kyle Gao, Yina Gao, Hongjie He, Denning Lu, Linlin Xu, and Jonathan Li · 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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ReLU fields: The little non-linearity that could
Animesh Karnewar, Tobias Ritschel, Oliver Wang, and Niloy J. Mitra · 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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AdaNeRF: Adaptive sampling for real-time rendering of neural radiance fields
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Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
Cited alongside, same era.
NeuSample: Neural sample field for efficient view synthesis
Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, and Qi Tian · 2021
Cited alongside, same era.
Dynamic view synthesis from dynamic monocular video
Chen Gao, Ayush Saraf, Johannes Kopf, and Jia-Bin Huang · 2021
Cited alongside, same era.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
Cited alongside, same era.
AutoInt: Automatic integration for fast neural volume rendering
David B. Lindell, Julien N. P. Martel, and Gordon Wetzstein · 2021
Cited alongside, same era.
DONeRF: Towards real-time rendering of neural radiance fields using depth oracle networks
Thomas Neff, Pascal Stadlbauer, Mathias Parger, Andreas Kurz, Chakravarty R. Alla Chaitanya, Anton Kaplanyan, and Markus Steinberger · 2021
Cited alongside, same era.
TermiNeRF: Ray termination prediction for efficient neural rendering
Martin Piala and Ronald Clark · 2021
Cited alongside, same era.
Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, and Markus Steinberger · 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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NPBG++: Accelerating neural point-based graphics
Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, and Evgeny Burnaev · 2022
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Light field neural rendering
Mohammed Suhail, Carlos Esteves, Leonid Sigal, and Ameesh Makadia · 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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Variable bitrate neural fields
Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, and Sanja Fidler · 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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Advances in neural rendering
Ayush Tewari, Justus Thies, Ben Mildenhall, Pratul Srinivasan, Edgar Tretschk, Yifan Wang, Christoph Lassner, Vincent Sitzmann, Ricardo Martin-Brualla, Stephen Lombardi, Tomas Simon, Christian Theobalt, Matthias Niessner, Jonathan T. Barron, Gordon Wetzstein, Michael Zollhöfer, and Vladislav Golyanik · 2022
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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 · 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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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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Robust dynamic radiance fields
Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, and Jia-Bin Huang · 2023
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Progressively optimized local radiance fields for robust view synthesis
Andreas Meuleman, Yu-Lun Liu, Chen Gao, Jia-Bin Huang, Changil Kim, Min H. Kim, and Johannes Kopf · 2023
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NeRFPlayer: A streamable dynamic scene representation with decomposed neural radiance fields
Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, and Andreas Geiger · 2023
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