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A neural radiance field (NeRF) is a scene model supporting high-quality view synthesis, optimized per scene.
Compositing digital images
Thomas Porter and Tom Duff · 1984
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Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach
Paul E. Debevec, Camillo J. Taylor, and Jitendra Malik · 1996
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Teddy: A sketching interface for 3d freeform design
Takeo Igarashi, Satoshi Matsuoka, and Hidehiko Tanaka · 1999
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Photorealistic scene reconstruction by voxel coloring
Steven M. Seitz and Charles R. Dyer · 1999
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Stereo matching with transparency and matting
Richard Szeliski and Polina Golland · 1999
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A theory of shape by space carving
Kiriakos N. Kutulakos and Steven M. Seitz · 2000
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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
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Unstructured lumigraph rendering
Chris Buehler, Michael Bosse, Leonard McMillan, Steven Gortler, and Michael Cohen · 2001
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Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
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Interactive digital photomontage
Aseem Agarwala, Mira Dontcheva, Maneesh Agrawala, Steven Drucker, Alex Colburn, Brian Curless, David Salesin, and Michael Cohen · 2004
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Colorization using optimization
Anat Levin, Dani Lischinski, and Yair Weiss · 2004
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Lazy snapping
Yin Li, Jian Sun, Chi-Keung Tang, and Heung-Yeung Shum · 2004
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Grabcut: Interactive foreground extraction using iterated graph cuts
Carsten Rother, Vladimir Kolmogorov, and Andrew Blake · 2004
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Seam carving for content-aware image resizing
Shai Avidan and Ariel Shamir · 2007
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Lightshop: Interactive light field manipulation and rendering
Daniel Reiter Horn and Billy Chen · 2007
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Lighting with paint
Fabio Pellacini, Frank Battaglia, Keith Morley, and Adam Finkelstein · 2007
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Appprop: all-pairs appearance-space edit propagation
Xiaobo An and Fabio Pellacini · 2008
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Patchmatch: A randomized correspondence algorithm for structural image editing
Connelly Barnes, Eli Shechtman, Adam Finkelstein, and Dan B Goldman · 2009
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Efficient affinity-based edit propagation using kd tree
Kun Xu, Yong Li, Tao Ju, Shi-Min Hu, and Tian-Qiang Liu · 2009
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Search-and-replace editing for personal photo collections
Samuel W Hasinoff, Martyna Jóźwiak, Frédo Durand, and William T Freeman · 2010
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AppWarp: retargeting measured materials by appearance-space warping
Xiaobo An, Xin Tong, Jonathan D. Denning, and Fabio Pellacini · 2011
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Efficient propagation of light field edits
Adrian Jarabo, Belen Masia, and Diego Gutierrez · 2011
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Transfusive image manipulation
Kaan Yücer, Alec Jacobson, Alexander Hornung, and Olga Sorkine · 2012
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3-sweep: Extracting editable objects from a single photo
Tao Chen, Zhe Zhu, Ariel Shamir, Shi-Min Hu, and Daniel Cohen-Or · 2013
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Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models
Mathieu Aubry, Daniel Maturana, Alexei A Efros, Bryan C Russell, and Josef Sivic · 2014
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How do people edit light fields?
Adrian Jarabo, Belen Masia, Adrien Bousseau, Fabio Pellacini, and Diego Gutierrez · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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State of the art in artistic editing of appearance, lighting, and material
Thorsten-Walther Schmidt, Fabio Pellacini, Derek Nowrouzezahrai, Wojciech Jarosz, and Carsten Dachsbacher · 2014
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Learning to generate chairs with convolutional neural networks
Alexey Dosovitskiy, Jost Tobias Springenberg, and Thomas Brox · 2015
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Deepprop: Extracting deep features from a single image for edit propagation
Yuki Endo, Satoshi Iizuka, Yoshihiro Kanamori, and Jun Mitani · 2016
Cited alongside, same era.
Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros · 2016
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
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Texture fields: Learning texture representations in function space
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, and Andreas Geiger · 2019
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DeepSDF: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 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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Scene representation networks: Continuous 3d-structure-aware neural scene representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
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Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston · 2017
Cited alongside, same era.
Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Cited alongside, same era.
Transferring image-based edits for multi-channel compositing
James W. Hennessey, Wilmot Li, Bryan Russell, Eli Shechtman, and Niloy J. Mitra · 2017
Cited alongside, same era.
Interactive 3d modeling with a generative adversarial network
Jerry Liu, Fisher Yu, and Thomas Funkhouser · 2017
Cited alongside, same era.
Soft 3d reconstruction for view synthesis
Eric Penner and Li Zhang · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Real-time user-guided image colorization with learned deep priors
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S Lin, Tianhe Yu, and Alexei A Efros · 2017
Cited alongside, same era.
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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Rewriting a deep generative model
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, and Antonio Torralba · 2020
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Local deep implicit functions for 3d shape
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, and Thomas Funkhouser · 2020
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Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Crowdsampling the plenoptic function
Zhengqi Li, Wenqi Xian, Abe Davis, and Noah Snavely · 2020
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DIST: Rendering deep implicit signed distance function with differentiable sphere tracing
Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, and Zhaopeng Cui · 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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Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2020
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Intuitive, interactive beard and hair synthesis with generative models
Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, and Hao Li · 2020
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Swapping autoencoder for deep image manipulation
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei Efros, and Richard Zhang · 2020
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Convolutional occupancy networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger · 2020
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Free view synthesis
Gernot Riegler and Vladlen Koltun · 2020
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PIFuHD: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
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GRAF: Generative radiance fields for 3d-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
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Space-time neural irradiance fields for free-viewpoint video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, and Changil Kim · 2020
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pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 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
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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
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Learned initializations for optimizing coordinate-based neural representations
Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, and Ren Ng · 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
Closest in time.
pixelNeRF: Neural radiance fields from one or few images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021
Closest in time.