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Noah Snavely

Active 2003–2026

168
Papers
27,914
Citations
61
h-index
123
i10-index

Citations

Citations per year for Noah Snavely1926: 2 citations1972: 2 citations1979: 1 citations1981: 1 citations1995: 1 citations1999: 1 citations2000: 1 citations2001: 1 citations2003: 2 citations2004: 4 citations2005: 31 citations2006: 22 citations2007: 83 citations2008: 166 citations2009: 268 citations2010: 447 citations2011: 510 citations2012: 558 citations2013: 663 citations2014: 732 citations2015: 870 citations2016: 875 citations2017: 871 citations2018: 1,042 citations2019: 1,225 citations2020: 1,537 citations2021: 1,577 citations2022: 1,379 citations2023: 1,614 citations2024: 1,544 citations2025: 1,235 citations2026: 396 citations1927–1971: no citations, so these years are not shown1973–1978: no citations, so these years are not shown1980: no citations, so this year is not shown1982–1994: no citations, so these years are not shown1996–1998: no citations, so these years are not shown2002: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,644 citing papers, 22.8% of this breakdownUnited States: 3,548 citing papers, 22.2% of this breakdownUnited Kingdom: 1,025 citing papers, 6.4% of this breakdownGermany: 927 citing papers, 5.8% of this breakdownJapan: 526 citing papers, 3.3% of this breakdownFrance: 491 citing papers, 3.1% of this breakdownSwitzerland: 480 citing papers, 3% of this breakdownSouth Korea: 467 citing papers, 2.9% of this breakdownCanada: 462 citing papers, 2.9% of this breakdownHong Kong: 432 citing papers, 2.7% of this breakdownAustralia: 367 citing papers, 2.3% of this breakdownItaly: 361 citing papers, 2.2% of this breakdown
0%22.8%Other 20.4%

Institutions

Fields

  • Computer Science67.6%
  • Engineering22%
  • Earth and Planetary Sciences4.2%
  • Environmental Science1.9%
  • Medicine0.8%
  • Physics and Astronomy0.8%
  • Other2.7%

Topics

  • Advanced Vision and Imaging17.7%
  • Robotics and Sensor-Based Localization10.8%
  • Advanced Image and Video Retrieval Techniques7.9%
  • Computer Graphics and Visualization Techniques5.2%
  • 3D Surveying and Cultural Heritage4.1%
  • 3D Shape Modeling and Analysis4%
  • Other50.3%

Coauthors

All papers

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  1. Unsupervised Learning of Depth and Ego-Motion from Video

    Authors: Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 2,806

  2. NeRF++: Analyzing and Improving Neural Radiance Fields

    Authors: Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun - arXiv (Cornell University), CoRR 2020 cited by 926

  3. Stereo Magnification: Learning View Synthesis using Multiplane Images

    Authors: Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely - ACM Transactions on Graphics, ACM Trans. Graph. 2018 cited by 743

  4. Photo tourism

    Authors: Noah Snavely, Steven M. Seitz, Richard Szeliski - ACM SIGGRAPH 2006 Papers on - SIGGRAPH '06 2006 cited by 2,833

  5. Building Rome in a day

    Authors: Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M. Seitz, Richard Szeliski - Communications of the ACM, Commun. ACM 2011 cited by 1,087

  6. DeepView: View Synthesis With Learned Gradient Descent

    Authors: John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 423

  7. Unsupervised Semantic Segmentation by Distilling Feature Correspondences

    Authors: Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, William T. Freeman - ICLR 2022 cited by 337

  8. LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

    Authors: Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, Zexiang Xu - ICLR 2025 cited by 170

  9. Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image

    Authors: Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 cited by 116

  10. Modeling the World from Internet Photo Collections

    Authors: Noah Snavely, Steven M. Seitz, Richard Szeliski - International Journal of Computer Vision, Int. J. Comput. Vis. 2007 cited by 2,167

  11. Deep Stereo: Learning to Predict New Views from the World's Imagery

    Authors: John Flynn, Ivan Neulander, James Philbin, Noah Snavely - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 cited by 613

  12. Multi-View Stereo for Community Photo Collections

    Authors: Michael Goesele, Noah Snavely, Brian Curless, Hugues Hoppe, Steven M. Seitz - IEEE 11th International Conference on Computer Vision, ICCV 2007 cited by 732

  13. Material recognition in the wild with the Materials in Context Database

    Authors: Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 cited by 513

  14. Pushing the Boundaries of View Extrapolation With Multiplane Images

    Authors: Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019 cited by 342

  15. Robust Global Translations with 1DSfM

    Authors: Kyle Wilson, Noah Snavely - Lecture notes in computer science, ECCV (3) 2014 cited by 407

  16. Neural 3D Reconstruction in the Wild

    Authors: Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely - Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings, SIGGRAPH (Conference Paper Track) 2022 cited by 102

  17. Intrinsic images in the wild

    Authors: Sean Bell, Kavita Bala, Noah Snavely - ACM Transactions on Graphics, ACM Trans. Graph. 2014 cited by 403

  18. Bundle Adjustment in the Large

    Authors: Sameer Agarwal, Noah Snavely, Steven M. Seitz, Richard Szeliski - Lecture notes in computer science, ECCV (2) 2010 cited by 474

  19. MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos

    Authors: Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Holynski, Noah Snavely - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 45

  20. Building Rome in a day

    Authors: Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Seitz, Richard Szeliski - IEEE 12th International Conference on Computer Vision, ICCV 2009 cited by 1,062

  21. Tracking Everything Everywhere All at Once

    Authors: Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely - IEEE/CVF International Conference on Computer Vision (ICCV) 2023 cited by 121

  22. Photo tourism: exploring photo collections in 3D

    Authors: Noah Snavely, Steven M. Seitz, Richard Szeliski - ACM eBooks, ACM Trans. Graph. 2006 cited by 233

  23. Generative Image Dynamics

    Authors: Zhengqi Li, Richard Tucker, Noah Snavely, Aleksander Holynski - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 cited by 41

  24. CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering

    Authors: Zhengqi Li, Noah Snavely - Lecture notes in computer science, ECCV (3) 2018 cited by 168