Fetching the paper…
Reading the bibliography…
Neural Radiance Field (NeRF) has recently emerged as a powerful representation to synthesize photorealistic novel views.
Least-squares estimation of transformation parameters between two point patterns
Shinji Umeyama · 1991
Earlier work this paper cites.
The Elements of Statistical Learning
Trevor Hastie, Robert Tibshirani, and Jerome Friedman · 2001
Earlier work this paper cites.
Multiple View Geometry in Computer Vision
Richard Hartley and Andrew Zisserman · 2003
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
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
Earlier work this paper cites.
ORB: an efficient alternative to SIFT or SURF
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary R. Bradski · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
Earlier work this paper cites.
Large scale multi-view stereopsis evaluation
Rasmus Ramsbøl Jensen, Anders Lindbjerg Dahl, George Vogiatzis, Engin Tola, and Henrik Aanæs · 2014
Earlier work this paper cites.
Optimal relative pose with unknown correspondences
Johan Fredriksson, Viktor Larsson, Carl Olsson, and Fredrik Kahl · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes L. Schönberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Relative camera pose estimation using convolutional neural networks
Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, and Esa Rahtu · 2017
Earlier work this paper cites.
Superpoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
Earlier work this paper cites.
Rpnet: An end-to-end network for relative camera pose estimation
Sovann En, Alexis Lechervy, and Frédéric Jurie · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
A tutorial on quantitative trajectory evaluation for visual(-inertial) odometry
Zichao Zhang and Davide Scaramuzza · 2018
Earlier work this paper cites.
Backpropagation-friendly eigendecomposition
Wei Wang 0108, Zheng Dang, Yinlin Hu, Pascal Fua, and Mathieu Salzmann · 2019
Earlier work this paper cites.
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, and Torsten Sattler · 2019
Earlier work this paper cites.
The replica dataset: A digital replica of indoor spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, and Richard A. Newcombe · 2019
Earlier work this paper cites.
Glampoints: Greedily learned accurate match points
Prune Truong, Stefanos Apostolopoulos, Agata Mosinska, Samuel Stucky, Carlos Ciller, and Sandro De Zanet · 2019
Earlier work this paper cites.
On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2019
Earlier work this paper cites.
Superglue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
Earlier work this paper cites.
GLU-Net: Global-local universal network for dense flow and correspondences
Prune Truong, Martin Danelljan, and Radu Timofte · 2020
Earlier work this paper 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
Cited alongside, same era.
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
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.
Wide-baseline relative camera pose estimation with directional learning
Kefan Chen, Noah Snavely, and Ameesh Makadia · 2021
Cited alongside, same era.
Stereo radiance fields (srf): Learning view synthesis for sparse views of novel scenes
Julian Chibane, Aayush Bansal, Verica Lazova, and Gerard Pons-Moll · 2021
Cited alongside, same era.
NeRS: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild
Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, and Deva Ramanan · 2021
Later among the works it cites.
Fusing the old with the new: Learning relative camera pose with geometry-guided uncertainty
Bingbing Zhuang and Manmohan Chandraker · 2021
Later among the works it cites.
Neural RGB-D surface reconstruction
Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, and Justus Thies · 2022
Closest in time.
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.
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections
Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P.A. Lensch, and Varun Jampani · 2022
Closest in time.
GARF: gaussian activated radiance fields for high fidelity reconstruction and pose estimation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Antoine Fond, Luca Del Pero, Nikola Sivacki, and Marco Paladini · 2021
Cited alongside, same era.
Putting nerf on a diet: Semantically consistent few-shot view synthesis
Ajay Jain, Matthew Tancik, and Pieter Abbeel · 2021
Cited alongside, same era.
Self-calibrating neural radiance fields
Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, and Jaesik Park · 2021
Cited alongside, same era.
Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
Cited alongside, same era.
Gnerf: Gan-based neural radiance field without posed camera
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, and Jingyi Yu · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Cited alongside, same era.
HLOC: Github project page
Paul-Edouard Sarling · 2021
Cited alongside, same era.
Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, and Simon Lucey · 2022
Closest in time.
Improving neural implicit surfaces geometry with patch warping
François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, and Mathieu Aubry · 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.
Neroic: neural rendering of objects from online image collections
Zhengfei Kuang, Kyle Olszewski, Menglei Chai, Zeng Huang, Panos Achlioptas, and Sergey Tulyakov · 2022
Closest in time.
Neural rays for occlusion-aware image-based rendering
Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, and Wenping Wang · 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.
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 · 2022
Closest in time.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, 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.
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.
Sinerf: Sinusoidal neural radiance fields for joint pose estimation and scene reconstruction
Yitong Xia, Hao Tang, Radu Timofte, and Luc Van Gool · 2022
Closest in time.
Ps-nerf: Neural inverse rendering for multi-view photometric stereo
Wenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, and Kwan-Yee K. Wong · 2022
Closest in time.
Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, and Andreas Geiger · 2022
Closest in time.
Relpose: Predicting probabilistic relative rotation for single objects in the wild
Jason Y. Zhang, Deva Ramanan, and Shubham Tulsiani · 2022
Closest in time.
Nice-slam: Neural implicit scalable encoding for slam
Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R. Oswald, and Marc Pollefeys · 2022
Closest in time.