Noah Snavely's Publications (also see my Google Scholar page)

• Thesis
• Journal and SIGGRAPH publications
• Conference publications
• Workshop publications
• Older work on link-time optimization

Thesis

• Noah Snavely. Scene Reconstruction and Visualization from Internet Photo Collections. Doctoral thesis, University of Washington, 2008. [pdf]

Journal and SIGGRAPH Publications

• Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely (Google AI). Stereo Magnification: Learning View Synthesis using Multiplane Images. SIGGRAPH 2018.
  [www, paper, video]
  
  
• Robert Anderson, David Gallup, Jonathan T. Barron, Janne Kontkanen, Noah Snavely, Carlos Hernandez Esteban, Sameer Agarwal, Steven M. Seitz. Jump: Virtual Reality Video. SIGGRAPH Asia 2016.
  [www, pdf, video]
  
  
• Daniel Hauagge, Scott Wehrwein, Kavita Bala, and Noah Snavely. Photometric Ambient Occlusion for Intrinsic Image Decomposition. PAMI 2016.
  [www, pdf]
  
  
• Albert Liu, Steve Marschner, and Noah Snavely. Caliber: Camera Localization and Calibration Using Rigidity Constraints. IJCV 2016.
  [www, pdf]
  
  
• Sean Bell, Kavita Bala, and Noah Snavely. Intrinsic Images in the Wild. SIGGRAPH 2014.
  [www, pdf]
  
  
• Song Cao and Noah Snavely. Graph-Based Discriminative Learning for Location Recognition. IJCV 2014.
  [www]
  
  
• Sean Bell, Paul Upchurch, Noah Snavely, and Kavita Bala. OpenSurfaces: A Richly Annotated Catalog of Surface Appearance. SIGGRAPH 2013.
  [publication page, dataset]
  
  
• David Crandall, Andrew Owens, Noah Snavely, and Daniel P. Huttenlocher. SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion. IEEE Transations on Pattern Analysis and Machine Intelligence (PAMI), 2012.
  [www, pdf]
  
  
• Chun-Po Wang, Noah Snavely, and Steven R. Marschner. Estimating Dual-scale Properties of Glossy Surfaces from Step-edge Lighting. SIGGRAPH Asia 2011.
  [website, pdf, pptx]
  
  
• Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Brian Curless, Steven M. Seitz and Richard Szeliski. Reconstructing Rome. IEEE Computer, June 2010. Cover Feature.
  [pdf]
  
  
• Noah Snavely, Ian Simon, Michael Goesele, Richard Szeliski, Steven M. Seitz. Scene Reconstruction and Visualization From Community Photo Collections. Proceedings of the IEEE, August 2010.
  [pdf]
  
  
• Noah Snavely, Rahul Garg, Steven M. Seitz, Richard Szeliski. Finding Paths through the World's Photos. SIGGRAPH 2008.
  [website, pdf, video]
  
  
• Noah Snavely, Steven M. Seitz, Richard Szeliski. Modeling the World from Internet Photo Collections. International Journal of Computer Vision (IJCV), 2007.
  [website, paper]
  
  
• Noah Snavely, Steven M. Seitz, Richard Szeliski. Photo Tourism: Exploring image collections in 3D. SIGGRAPH 2006.
  [website, paper, video]
  
  
• Li Zhang, Noah Snavely, Brian Curless, Steven M. Seitz. Spacetime faces: High-resolution capture for modeling and animation. In SIGGRAPH 2004.
  [website, paper]
  

Conference Publications

• Supasorn Suwajanakorn, Noah Snavely (Google AI), Jonathan Tompson, and Mohammad Norouzi. Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. NeurIPS 2018.
  [webpage, arXiv]
  
  
• Zhengqi Li and Noah Snavely. CGIntrinsics: Better Intrinsic Images through Physically-Based Rendering. ECCV 2018.
  [www, paper]
  
  
• Shubham Tulsiani, Richard Tucker, and Noah Snavely (Google AI). Layer-structured 3D Scene Inference via View Synthesis. ECCV 2018.
  [www, paper]
  
  
• Zhengqi Li and Noah Snavely. MegaDepth: Learning Single-View Depth Prediction from Internet Photos. CVPR 2018.
  [www, paper]
  
  
• Zhengqi Li and Noah Snavely. Learning Intrinsic Image Decomposition from Watching the World. CVPR 2018.
  [www, paper]
  
  
• Tinghui Zhou, Matthew Brown, Noah Snavely, and David Lowe. Unsupervised Learning of Depth and Ego-Motion from Video. CVPR 2017.
  [www, pdf]
  
  
• Paul Upchurch, Jacob Gardner, Kavita Bala, Robert Pless, Noah Snavely, and Kilian Weinberger. Deep Feature Interpolation for Image Content Changes. CVPR 2017.
  [pdf]
  
  
• Balazs Kovacs, Sean Bell, Noah Snavely, and Kavita Bala. Shading Annotations in the Wild. CVPR 2017.
  [www, pdf]
  
  
• Kyle Wilson, David Bindel, and Noah Snavely. When is Rotations Averaging Hard? ECCV 2016.
  [pdf]
  
  
• John Flynn, Ivan Neulander, James Philbin, and Noah Snavely. DeepStereo: Learning to Predict New Views from the World's Imagery. CVPR 2016.
  [video, pdf]
  
  
• Kevin Matzen and Noah Snavely. BubbLeNet: Foveated Imaging for Visual Discovery. ICCV 2015.
  [www, pdf]
  
  
• Kathleen Tuite, Rahul Banerjee, Noah Snavely, Jovan Popovic, and Zoran Popovic. PointCraft: Harnessing Players' FPS Skills to Interactively Trace Point Clouds in 3D. FDG 2015.
  [www, video, pdf]
  
  
• Scott Wehrwein, Kavita Bala, and Noah Snavely. Shadow Detection and Sun Direction in Photo Collections. 3DV 2015.
  [www, pdf]
  
  
• Sean Bell, Paul Upchurch, Noah Snavely, and Kavita Bala. Material Recognition in the Wild with the Materials in Context Database. CVPR 2015.
  [www, pdf]
  
  
• Kevin Matzen and Noah Snavely. Scene Chronology. ECCV 2014. Best paper award winner!
  [www, pdf]
  
  
• Kyle Wilson and Noah Snavely. Robust Global Translations using 1DSfM. ECCV 2014.
  [www, pdf]
  
  
• Daniel Hauagge, Scott Wehrwein, Paul Upchurch, Kavita Bala, and Noah Snavely. Reasoning about Photo Collections using Models of Outdoor Illumination. BMVC 2014.
  [www]
  
  
• Song Cao and Noah Snavely. Minimal Scene Descriptions from Structure from Motion Models. CVPR 2014.
  [www, pdf]
  
  
• Kyle Wilson and Noah Snavely. Network Principles for SfM: Disambiguating Repeated Structures with Local Context. ICCV 2013.
  [www, pdf]
  
  
• Kevin Matzen and Noah Snavely. NYC3DCars: A Dataset of 3D Vehicles with Geographic Context. ICCV 2013.
  [www, pdf]
  
  
• Chun-Po Wang, Kyle Wilson, and Noah Snavely. Accurate Georegistration of Point Clouds using Geographic Data. 3DV 2013.
  [www, pdf]
  
  
• Daniel Cabrini Hauagge, Scott Wehrwein, Kavita Bala, and Noah Snavely. Photometric Ambient Occlusion. CVPR 2013.
  [www, pdf]
  
  
• Song Cao, Noah Snavely. Graph-Based Discriminative Learning for Location Recognition. CVPR 2013.
  [www, pdf]
  
  
• Yunpeng Li, Noah Snavely, Dan Huttenlocher, Pascal Fua. Worldwide Pose Estimation using 3D Point Clouds. ECCV 2012.
  [www, pdf]
  
  
• Yin Lou, Noah Snavely, Johannes Gehrke. MatchMiner: Efficiently Mining Spanning Structures in Large Image Collections. ECCV 2012.
  [www, pdf]
  
  
• Daniel Cabrini Hauagge and Noah Snavely. Image Matching using Local Symmetry Features. CVPR 2012.
  [www, pdf]
  
  
• Amir Sadovnik, Yi-I Chiu, Noah Snavely, Shimon Edelman, and Tsuhan Chen. Image Description with a Goal: Building Efficient Discriminating Expressions for Images. CVPR 2012.
  [pdf]
  
  
• Adarsh Kowdle, Noah Snavely, and Tsuhan Chen. Recovering Depth of a Dynamic Scene using Real World Motion Prior. ICIP 2012.
  [pdf]
  
  
• David Crandall, Andrew Owens, Noah Snavely, and Daniel Huttenlocher. Discrete-Continuous Optimization for Large-Scale Structure from Motion. CVPR 2011. Best paper award runner-up.
  [website, pdf]
  
  
• Rahul Garg, Deva Ramanan, Steven M. Seitz, and Noah Snavely. Where's Waldo? Matching Images of People in Crowds. CVPR 2011.
  [website, pdf]
  
  
• Yunpeng Li, Noah Snavely, and Daniel P. Huttenlocher. Location Recognition using Prioritized Feature Matching . ECCV 2010.
  [website, pdf]
  
  
• Sameer Agarwal, Noah Snavely, Steven M. Seitz, and Richard Szeliski. Bundle Adjustment in the Large. ECCV 2010.
  [website, pdf]
  
  
• Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Chen. Towards Computational Models of Kinship Verification. IEEE International Conference on Image Processing (ICIP) 2010. Best paper award.
  [pdf]
   
• Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Seitz, Richard Szeliski. Building Rome in a Day. ICCV 2009.
  [website, pdf]
  
  
• Rahul Garg, Hao Du, Steven M. Seitz, Noah Snavely. The Dimensionality of Scene Appearance. ICCV 2009.
  [website, pdf]
  
  
• Noah Snavely, Steven M. Seitz, Richard Szeliski. Skeletal Sets for Efficient Structure from Motion. CVPR 2008.
  [website, pdf]
  
  
• Sameer Agarwal, Noah Snavely, and Steven M. Seitz. Fast Algorithms for L_infty Problems in Multiple View Geometry. CVPR 2008.
  [pdf]
  
  
• Michael Goesele, Noah Snavely, Brian Curless, Steven M. Seitz, Hugues Hoppe. Multi-View Stereo for Community Photo Collections. ICCV 2007.
  [website, paper]
  
  
• Ian Simon, Noah Snavely, Steven M. Seitz. Scene Summarization for Online Image Collections. ICCV 2007.
  [website, paper]
  
  
• Pravin Bhat, C. Lawrence Zitnick, Noah Snavely, Aseem Agarwala, Maneesh Agrawala, Michael Cohen, Brian Curless, Sing Bing Kang. Using Photographs to Enhance Videos of a Static Scene. Proc. Eurographics Symp. on Rendering (EGSR), 2007.
  [website, paper, video]
  
  
• Pravin Bhat, Colin Zheng, Noah Snavely, Aseem Agarwala, Maneesh Agrawala, Michael Cohen, Brian Curless. Piecewise Image Registration in the Presence of Multiple Large Motions. CVPR 2006.
  [website, paper]
  
  
• Noah Snavely, C. Lawrence Zitnick, Sing Bing Kang, Michael Cohen. Stylizing 2.5-D video. Proc. Int. Symp. on Non-Photorealistic Animation and Rendering (NPAR), 2006.
  [website, paper]
  
  

Workshop Publications

• Song Cao and Noah Snavely. Learning to Match Images in Large-Scale Collections. ECCV Workshop on Web-Scale Vision and Social Media, 2012.
  [www,pdf]
  
  
• Ryan Kaminsky, Noah Snavely, Steven M. Seitz, Richard Szeliski. Alignment of 3D Point Clouds to Overhead Images. CVPR 2009 Workshop on Internet Vision.
  [pdf]
  
  

Older work on link-time optimization

• Noah Snavely, Saumya K. Debray, Gregory R. Andrews. Unpredication, Unscheduling, and Unspeculation: Reverse Engineering Itanium Executables. In IEEE Trans. of Software Engineering, Vol 31(2), Feb. 2005.
  An earlier version appeared in the IEEE Working Conf. on Reverse Engineering (WCRE), 2003.
  [website, pdf]
  
  
• Noah Snavely, Saumya K. Debray, Gregory R. Andrews. Unspeculation. Proc. IEEE Int. Conf. on Automated Software Engineering (ASE), 2003, pp. 205-214.
  [website, pdf]
  
  
• Noah Snavely, Saumya K. Debray, Gregory R. Andrews. Predicate Analysis and If-Conversion in an Itanium Link-Time Optimizer. Proc. Workshop on EPIC Architectures and Compiler Techniques (EPIC), 2002.
  [website, pdf]