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Recent works in spatiotemporal radiance fields can produce photorealistic free-viewpoint videos.
Stereo matching with transparency and matting
Richard Szeliski and Polina Golland · 1998
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Fast and efficient compression of floating-point data
Peter Lindstrom and Martin Isenburg · 2006
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Fixed-rate compressed floating-point arrays
Peter Lindstrom · 2014
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
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Lookingood: Enhancing performance capture with real-time neural re-rendering
Ricardo Martin-Brualla, Rohit Pandey, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Julien P. C. Valentin, Sameh Khamis, Philip L. Davidson, Anastasia Tkach, Peter Lincoln, Adarsh Kowdle, Christoph Rhemann, Dan B. Goldman, Cem Keskin, Steven M. Seitz, Shahram Izadi, and Sean Ryan Fanello · 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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Neural volumes: Learning dynamic renderable volumes from images
Stephen Lombardi, Tomas Simon, Jason M. Saragih, Gabriel Schwartz, Andreas M. Lehrmann, and Yaser Sheikh · 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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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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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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STAR: A sparse trained articulated human body regressor
Ahmed A A Osman, Timo Bolkart, and Michael J. Black · 2020
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Gernot Riegler and Vladlen Koltun · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien N.P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng · 2020
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Single-view view synthesis with multiplane images
Richard Tucker and Noah Snavely · 2020
Cited alongside, same era.
SynSin: End-to-end view synthesis from a single image
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, and Justin Johnson · 2020
Cited alongside, same era.
Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera
Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, and Jan Kautz · 2020
Cited alongside, same era.
pixelnerf: Neural radiance fields from one or few images, 2020
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2020
Cited alongside, same era.
Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
Cited alongside, same era.
Plenoxels: Radiance fields without neural networks, 2021
Autoint: Automatic integration for fast neural volume rendering
D. B.* Lindell, J. N. P.* Martel, and G. Wetzstein · 2021
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Neural actor: Neural free-view synthesis of human actors with pose control
Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, and Christian Theobalt · 2021
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Fovvideovdp: A visible difference predictor for wide field-of-view video
Rafał K. Mantiuk, Gyorgy Denes, Alexandre Chapiro, Anton Kaplanyan, Gizem Rufo, Romain Bachy, Trisha Lian, and Anjul Patney · 2021
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Human view synthesis using a single sparse rgb-d input
Phong Nguyen, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkila, and Tony Tung · 2021
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Nerfies: Deformable neural radiance fields
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, and Ricardo Martin-Brualla · 2021
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Alex Yu and Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2021
Cited alongside, same era.
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.
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields, 2021
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
Cited alongside, same era.
Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo
Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, and Hao Su · 2021
Cited alongside, same era.
Stereo radiance fields (srf): Learning view synthesis from sparse views of novel scenes
Julian Chibane, Aayush Bansal, Verica Lazova, and Gerard Pons-Moll · 2021
Cited alongside, same era.
Depth-supervised nerf: Fewer views and faster training for free
Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan · 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.
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, and Steven M. Seitz · 2021
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Animatable neural radiance fields for modeling dynamic human bodies
Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, and Hujun Bao · 2021
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Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, and Xiaowei Zhou · 2021
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Stable view synthesis
Gernot Riegler and Vladlen Koltun · 2021
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Adop: Approximate differentiable one-pixel point rendering
Darius Rückert, Linus Franke, and Marc Stamminger · 2021
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A-nerf: Articulated neural radiance fields for learning human shape, appearance, and pose
Shih-Yang Su, Frank Yu, Michael Zollhöfer, and Helge Rhodin · 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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Ibrnet: Learning multi-view image-based rendering
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser · 2021
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Space-time neural irradiance fields for free-viewpoint video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim · 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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Separable flow: Learning motion cost volumes for optical flow estimation
Feihu Zhang, Oliver J. Woodford, Victor Adrian Prisacariu, and Philip H.S. Torr · 2021
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Tensorf: Tensorial radiance fields
Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su · 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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