Fetching the paper…
Reading the bibliography…
We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation that enables high-quality view synthesis and motion interpolation.
Bayesian image analysis: An application to single photon emission tomography
Stuart Geman and D McClure · 1985
Earlier work this paper cites.
The plenoptic function and the elements of early vision
Edward H. Adelson and James R. Bergen · 1991
Earlier work this paper cites.
View interpolation for image synthesis
Shenchang Eric Chen and Lance Williams · 1993
Earlier work this paper cites.
The visual hull concept for silhouette-based image understanding
Aldo Laurentini · 1994
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.
Virtualized reality: Constructing virtual worlds from real scenes
Takeo Kanade, Peter Rander, and PJ Narayanan · 1997
Earlier work this paper cites.
Acquiring the reflectance field of a human face
Paul Debevec, Tim Hawkins, Chris Tchou, Haarm-Pieter Duiker, Westley Sarokin, and Mark Sagar · 2000
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.
Free-viewpoint video of human actors
Joel Carranza, Christian Theobalt, Marcus A Magnor, and Hans-Peter Seidel · 2003
Earlier work this paper cites.
Silhouette and stereo fusion for 3d object modeling
Carlos Hernández Esteban and Francis Schmitt · 2004
Earlier work this paper cites.
High-quality video view interpolation using a layered representation
C Lawrence Zitnick, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, and Richard Szeliski · 2004
Earlier work this paper cites.
Surface capture for performance-based animation
Jonathan Starck and Adrian Hilton · 2007
Earlier work this paper cites.
Accurate, dense, and robust multiview stereopsis
Yasutaka Furukawa and Jean Ponce · 2009
Earlier work this paper cites.
Unstructured light fields
Abe Davis, Marc Levoy, and Fredo Durand · 2012
Earlier work this paper cites.
Temporally coherent completion of dynamic shapes
Hao Li, Linjie Luo, Daniel Vlasic, Pieter Peers, Jovan Popović, Mark Pauly, and Szymon Rusinkiewicz · 2012
Earlier work this paper cites.
High-quality streamable free-viewpoint video
Alvaro Collet, Ming Chuang, Pat Sweeney, Don Gillett, Dennis Evseev, David Calabrese, Hugues Hoppe, Adam Kirk, and Steve Sullivan · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Learning-based view synthesis for light field cameras
Nima Khademi Kalantari, Ting-Chun Wang, and Ravi Ramamoorthi · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Pixelwise view selection for unstructured multi-view stereo
Johannes L Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys · 2016
Earlier work this paper cites.
From a to z: supervised transfer of style and content using deep neural network generators
Paul Upchurch, Noah Snavely, and Kavita Bala · 2016
Earlier work this paper cites.
Learning a multi-view stereo machine
Abhishek Kar, Christian Häne, and Jitendra Malik · 2017
Earlier work this paper cites.
Deep volumetric video from very sparse multi-view performance capture
Zeng Huang, Tianye Li, Weikai Chen, Yajie Zhao, Jun Xing, Chloe LeGendre, Linjie Luo, Chongyang Ma, and Hao Li · 2018
Cited alongside, same era.
The making of welcome to light fields vr
Ryan S. Overbeck, Daniel Erickson, Daniel Evangelakos, and Paul Debevec · 2018
Cited alongside, same era.
Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Stereo magnification: Learning view synthesis using multiplane images
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely · 2018
Cited alongside, same era.
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2020
Later among the works it cites.
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
Later among the works it cites.
State of the Art on Neural Rendering
A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B Goldman, and M. Zollhöfer · 2020
Later among the works it cites.
Synsin: End-to-end view synthesis from a single image
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, and Justin Johnson · 2020
Later among the works it cites.
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
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck, Noah Snavely, and Richard Tucker · 2019
Cited alongside, same era.
The relightables: Volumetric performance capture of humans with realistic relighting
Kaiwen Guo, Peter Lincoln, Philip Davidson, Jay Busch, Xueming Yu, Matt Whalen, Geoff Harvey, Sergio Orts-Escolano, Rohit Pandey, Jason Dourgarian, et al · 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.
Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination
Abhimitra Meka, Christian Haene, Rohit Pandey, Michael Zollhöfer, Sean Fanello, Graham Fyffe, Adarsh Kowdle, Xueming Yu, Jay Busch, Jason Dourgarian, et al · 2019
Cited alongside, same era.
Neural rerendering in the wild
Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, and Ricardo Martin-Brualla · 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.
Image quality assessment through fsim, ssim, mse and psnr - a comparative study
Umme Sara, Morium Akter, and Mohammad Shorif Uddin · 2019
Cited alongside, same era.
Later among the works it cites.
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
Later among the works it cites.
Neural radiance flow for 4d view synthesis and video processing
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B Tenenbaum, and Jiajun Wu · 2021
Closest in time.
Dynamic neural radiance fields for monocular 4d facial avatar reconstruction
Guy Gafni, Justus Thies, Michael Zollhofer, and Matthias Nießner · 2021
Closest in time.
Dynamic view synthesis from dynamic monocular video
Chen Gao, Ayush Saraf, Johannes Kopf, and Jia-Bin Huang · 2021
Closest in time.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
Closest in time.
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
Closest in time.
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
Closest in time.
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
Closest in time.
Neural articulated radiance field
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, and Tatsuya Harada · 2021
Closest in time.
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
Closest in time.
Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, and Steven M. Seitz · 2021
Closest in time.
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
Closest in time.
Pixel-aligned volumetric avatars
Amit Raj, Michael Zollhöfer, Tomas Simon, Jason M. Saragih, Shunsuke Saito, James Hays, and Stephen Lombardi · 2021
Closest in time.
Advances in neural rendering
Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Zexiang Xu, Tomas Simon, Matthias Nießner, Edgar Tretschk, L. Liu, Ben Mildenhall, Pratul P. Srinivasan, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, M. Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, and Michael Zollhöfer · 2021
Closest in time.
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
Closest in time.
Space-time neural irradiance fields for free-viewpoint video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim · 2021
Closest in time.
Star: Self-supervised tracking and reconstruction of rigid objects in motion with neural rendering
Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, and Steven Lovegrove · 2021
Closest in time.