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Neural Radiance Fields (NeRFs) are emerging as a ubiquitous scene representation that allows for novel view synthesis.
An intuitive tool for outlining objects in video sequences: Applications to augmented and diminished reality
Vincent Lepetit, Marie-Odile Berger, and LORIA-INRIA Lorraine · 2001
Earlier work this paper cites.
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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MeshLab: an open-source 3D mesh processing system
Paolo Cignoni, Massimiliano Corsini, and Guido Ranzuglia · 2008
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Advanced self-contained object removal for realizing real-time diminished reality in unconstrained environments
Jan Herling and Wolfgang Broll · 2010
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Image quality metrics: PSNR vs. SSIM
Alain Hore and Djemel Ziou · 2010
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Unstructured light fields
Abe Davis, Marc Levoy, and Fredo Durand · 2012
Earlier work this paper cites.
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Earlier work this paper cites.
Temporally coherent completion of dynamic video
Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, and Johannes Kopf · 2016
Earlier work this paper cites.
Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 2016
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Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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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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Multi-view inpainting for image-based scene editing and rendering
Theo Thonat, Eli Shechtman, Sylvain Paris, and George Drettakis · 2016
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Globally and locally consistent image completion
Satoshi Iizuka, Edgar Simo-Serra, and Hiroshi Ishikawa · 2017
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What uncertainties do we need in bayesian deep learning for computer vision?
Alex Kendall and Yarin Gal · 2017
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Deep blending for free-viewpoint image-based rendering
Peter Hedman, Julien Philip, True Price, Jan-Michael Frahm, George Drettakis, and Gabriel Brostow · 2018
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Image inpainting for irregular holes using partial convolutions
Guilin Liu, Fitsum A Reda, Kevin J Shih, Ting-Chun Wang, Andrew Tao, and Bryan Catanzaro · 2018
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Plane-based multi-view inpainting for image-based rendering in large scenes
Julien Philip and George Drettakis · 2018
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Generative image inpainting with contextual attention
Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, and Thomas S Huang · 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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Learning to infer implicit surfaces without 3D supervision
Shichen Liu, Shunsuke Saito, Weikai Chen, and Hao Li · 2019
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Liquid warping GAN: A unified framework for human motion imitation, appearance transfer and novel view synthesis
Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, and Shenghua Gao · 2019
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Occupancy networks: Learning 3D reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 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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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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PIFu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
Earlier work this paper cites.
Deep flow-guided video inpainting
Rui Xu, Xiaoxiao Li, Bolei Zhou, and Chen Change Loy · 2019
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View independent generative adversarial network for novel view synthesis
Xiaogang Xu, Ying-Cong Chen, and Jiaya Jia · 2019
Cited alongside, same era.
Learning pyramid-context encoder network for high-quality image inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao, and Baining Guo · 2019
Cited alongside, same era.
Implicit functions in feature space for 3D shape reconstruction and completion
Julian Chibane, Thiemo Alldieck, and Gerard Pons-Moll · 2020
Cited alongside, same era.
RGB-D image inpainting using generative adversarial network with a late fusion approach
Ryo Fujii, Ryo Hachiuma, and Hideo Saito · 2020
Cited alongside, same era.
Flow-edge guided video completion
Chen Gao, Ayush Saraf, Jia-Bin Huang, and Johannes Kopf · 2020
Cited alongside, same era.
DVI: Depth guided video inpainting for autonomous driving
Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, and Ruigang Yang · 2020
PixelSynth: Generating a 3D-consistent experience from a single image
Chris Rockwell, David F Fouhey, and Justin Johnson · 2021
Later among the works it cites.
Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil and Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2021
Later among the works it cites.
iMAP: Implicit mapping and positioning in real-time
Edgar Sucar, Shikun Liu, Joseph Ortiz, and Andrew Davison · 2021
Later among the works it cites.
Learning object-compositional neural radiance field for editable scene rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2021
Later among the works it cites.
PlenOctrees for real-time rendering of neural radiance fields
Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, and Angjoo Kanazawa · 2021
Later among the works it cites.
In-place scene labelling and understanding with implicit scene representation
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Cited alongside, same era.
Learning to see through obstructions
Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, and Jia-Bin Huang · 2020
Cited alongside, same era.
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
Cited alongside, same era.
InpaintFusion: incremental RGB-D inpainting for 3D scenes
Shohei Mori, Okan Erat, Wolfgang Broll, Hideo Saito, Dieter Schmalstieg, and Denis Kalkofen · 2020
Cited alongside, same era.
FroDO: From detections to 3D objects
Martin Runz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, et al · 2020
Cited alongside, same era.
PIFuHD: Multi-level pixel-aligned implicit function for high-resolution 3D human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
Cited alongside, same era.
Graf: Generative radiance fields for 3D-aware image synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer, and Andreas Geiger · 2020
Cited alongside, same era.
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, and Andrew Davison · 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
Closest in time.
Dynamic object removal and spatio-temporal RGB-D inpainting via geometry-aware adversarial learning
Borna Bešić and Abhinav Valada · 2022
Closest in time.
Depth-supervised NeRF: Fewer views and faster training for free
Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan · 2022
Closest in time.
Infonerf: Ray entropy minimization for few-shot neural volume rendering
Mijeong Kim, Seonguk Seo, and Bohyung Han · 2022
Closest in time.
Decomposing NeRF for editing via feature field distillation
Sosuke Kobayashi, Eiichi Matsumoto, and Vincent Sitzmann · 2022
Closest in time.
CompNVS: Novel view synthesis with scene completion
Zuoyue Li, Tianxing Fang, Zhenqiang Li, Zhaopeng Cui, Yoichi Sato, Marc Pollefeys, and Martin R. Oswald · 2022
Closest in time.
Towards an end-to-end framework for flow-guided video inpainting
Zhen Li, Cheng-Ze Lu, Jianhua Qin, Chun-Le Guo, and Ming-Ming Cheng · 2022
Closest in time.
SparseNeuS: Fast generalizable neural surface reconstruction from sparse views
Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, and Wenping Wang · 2022
Closest in time.
Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
Closest in time.
LENS: Localization enhanced by NeRF synthesis
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, and Arnaud de La Fortelle · 2022
Closest in time.
Good keyframes to inpaint
Shohei Mori, Dieter Schmalstieg, and Denis Kalkofen · 2022
Closest in time.
Instant neural radiance fields
Thomas Müller, Alex Evans, Christoph Schied, Marco Foco, András Bódis-Szomorú, Isaac Deutsch, Michael Shelley, and Alexander Keller · 2022
Closest in time.
RegNeRF: Regularizing neural radiance fields for view synthesis from sparse inputs
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, and Noha Radwan · 2022
Closest in time.
Urban radiance fields
Konstantinos Rematas, Andrew Liu, Pratul P Srinivasan, Jonathan T Barron, Andrea Tagliasacchi, Thomas Funkhouser, and Vittorio Ferrari · 2022
Closest in time.
Dense depth priors for neural radiance fields from sparse input views
Barbara Roessle, Jonathan T Barron, Ben Mildenhall, Pratul P Srinivasan, and Matthias Nießner · 2022
Closest in time.
SimpleRecon: 3D reconstruction without 3D convolutions
Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, and Clément Godard · 2022
Closest in time.
Resolution-robust large mask inpainting with fourier convolutions
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, and Victor Lempitsky · 2022
Closest in time.
RTMV: A ray-traced multi-view synthetic dataset for novel view synthesis
Jonathan Tremblay, Moustafa Meshry, Alex Evans, Jan Kautz, Alexander Keller, Sameh Khamis, Charles Loop, Nathan Morrical, Koki Nagano, Towaki Takikawa, and Stan Birchfield · 2022
Closest in time.
3D moments from near-duplicate photos
Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, and Janne Kontkanen · 2022
Closest in time.
Object-compositional neural implicit surfaces
Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, and Jianmin Zheng · 2022
Closest in time.
NeRF-editing: geometry editing of neural radiance fields
Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, and Lin Gao · 2022
Closest in time.