Fetching the paper…
Reading the bibliography…
Dynamic Neural Radiance Field (NeRF) is a powerful algorithm capable of rendering photo-realistic novel view images from a monocular RGB video of a dynamic scene.
Illumination for computer generated pictures
Bui Tuong Phong · 1975
Earlier work this paper cites.
Geometrical considerations and nomenclature for reflectance
Fred E. Nicodemus, Joseph C. Richmond, Jack J. Hsia, Irving W. Ginsberg, and T. Limperis · 1977
Earlier work this paper cites.
A more flexible image generation environment
F. C. Crow · 1982
Earlier work this paper cites.
Modeling the interaction of light between diffuse surfaces
Cindy M Goral, Kenneth E Torrance, Donald P Greenberg, and Bennett Battaile · 1984
Earlier work this paper cites.
Ray tracing volume densities
James T Kajiya and Brian P Von Herzen · 1984
Earlier work this paper cites.
The rendering equation
James T. Kajiya · 1986
Earlier work this paper cites.
Radiosity and realistic image synthesis
Michael F Cohen, John R Wallace, and Pat Hanrahan · 1993
Earlier work this paper cites.
LCTS: ray shooting using longest common traversal sequences
Vlastimil Havran and Jirí Bittner · 2000
Earlier work this paper cites.
Realistic image synthesis using photon mapping
Henrik Wann Jensen · 2001
Earlier work this paper cites.
An efficient representation for irradiance environment maps
Ravi Ramamoorthi and Pat Hanrahan · 2001
Earlier work this paper cites.
A signal-processing framework for inverse rendering
Ravi Ramamoorthi and Pat Hanrahan · 2001
Earlier work this paper cites.
Ray tracing on programmable graphics hardware
Timothy J. Purcell, Ian Buck, William R. Mark, and Pat Hanrahan · 2002
Earlier work this paper cites.
Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments
Peter-Pike Sloan, Jan Kautz, and John Snyder · 2002
Earlier work this paper cites.
Lambertian reflectance and linear subspaces
Ronen Basri and David W Jacobs · 2003
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P Simoncelli, and Alan C Bovik · 2003
Earlier work this paper cites.
Precomputation-based rendering
Ravi Ramamoorthi · 2009
Earlier work this paper cites.
Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time
Richard A Newcombe, Dieter Fox, and Steven M Seitz · 2015
Earlier work this paper cites.
Learning a predictable and generative vector representation for objects
Rohit Girdhar, David F Fouhey, Mikel Rodriguez, and Abhinav Gupta · 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 Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
Earlier work this paper cites.
A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
Cited alongside, same era.
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox · 2017
Cited alongside, same era.
Bodyfusion: Real-time capture of human motion and surface geometry using a single depth camera
Tao Yu, Kaiwen Guo, Feng Xu, Yuan Dong, Zhaoqi Su, Jianhui Zhao, Jianguo Li, Qionghai Dai, and Yebin Liu · 2017
Cited alongside, same era.
Modeling facial geometry using compositional vaes
Timur Bagautdinov, Chenglei Wu, Jason Saragih, Pascal Fua, and Yaser Sheikh · 2018
Cited alongside, same era.
Foldingnet: Point cloud auto-encoder via deep grid deformation
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018
Cited alongside, same era.
Modular interactive video object segmentation: Interaction-to-mask, propagation and difference-aware fusion
Ho Kei Cheng, Yu-Wing Tai, and Chi-Keung Tang · 2021
Later among the works it cites.
Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
Later among the works it cites.
Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Michael Oechsle, Songyou Peng, and Andreas Geiger · 2021
Later among the works it cites.
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
Later among the works it cites.
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
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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.
Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
Cited alongside, same era.
Occupancy flow: 4d reconstruction by learning particle dynamics
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2019
Cited alongside, same era.
Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
Cited alongside, same era.
Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 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.
Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps
Christian Reiser, Songyou Peng, Yiyi Liao, and Andreas Geiger · 2021
Later among the works it cites.
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
Later among the works it cites.
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
Later among the works it cites.
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
Later among the works it cites.
RigidFusion: RGB-D Scene Reconstruction with Rigidly-moving Objects
Yu-Shiang Wong, Changjian Li, Matthias Nießner, and Niloy J. Mitra · 2021
Later among the works it cites.
Ners: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild
Jason Zhang, Gengshan Yang, Shubham Tulsiani, and Deva Ramanan · 2021
Later among the works it cites.
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
Later among the works it cites.
Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman · 2022
Later among the works it cites.
Monocular dynamic view synthesis: A reality check
Hang Gao, Ruilong Li, Shubham Tulsiani, Bryan Russell, and Angjoo Kanazawa · 2022
Later among the works it cites.
Nerfren: Neural radiance fields with reflections
Yuan-Chen Guo, Di Kang, Linchao Bao, Yu He, and Song-Hai Zhang · 2022
Later among the works it cites.
Neural reflectance for shape recovery with shadow handling
Junxuan Li and Hongdong Li · 2022
Later among the works it cites.
MultiNeRF: A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF, 2022
Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman, Ricardo Martin-Brualla, and Jonathan T. Barron · 2022
Later among the works it cites.
Block-NeRF: Scalable large scene neural view synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul Srinivasan, Jonathan T. Barron, and Henrik Kretzschmar · 2022
Later among the works it cites.
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
Later among the works it cites.
Fourier plenoctrees for dynamic radiance field rendering in real-time
Liao Wang, Jiakai Zhang, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minye Wu, Jingyi Yu, and Lan Xu · 2022
Later among the works it cites.