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ORCIDNoah Snavely
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- affiliation: Cornell University, Ithaca, NY, USA
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2020 – today
- 2020
[c74]Muhammad Usman Rafique, Hunter Blanton, Noah Snavely, Nathan Jacobs:
Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. BMVC 2020- [c73]Richard Tucker, Noah Snavely:
Single-View View Synthesis With Multiplane Images. CVPR 2020: 548-557 - [c72]Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen:
Depth Sensing Beyond LiDAR Range. CVPR 2020: 1689-1697 - [c71]Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge J. Belongie:
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation. CVPR 2020: 7628-7638 - [c70]Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CVPR 2020: 8077-8086 - [c69]Zhiqiu Lin, Jin Sun, Abe Davis, Noah Snavely:
Visual Chirality. CVPR 2020: 12292-12300 - [c68]Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely:
Crowdsampling the Plenoptic Function. ECCV (1) 2020: 178-196 - [c67]Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely:
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails. ECCV (18) 2020: 192-207 - [c66]Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge J. Belongie, Noah Snavely, Bharath Hariharan:
Learning Gradient Fields for Shape Generation. ECCV (3) 2020: 364-381 - [c65]Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely:
Learning to Factorize and Relight a City. ECCV (4) 2020: 544-561 - [c64]Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely:
Learning Feature Descriptors Using Camera Pose Supervision. ECCV (1) 2020: 757-774 - [c63]Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia:
An Analysis of SVD for Deep Rotation Estimation. NeurIPS 2020 - [c62]Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. NeurIPS 2020 - [c61]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-Learning Signed Distance Functions. NeurIPS 2020 - [i39]Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron, Richard Tucker, Noah Snavely:
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination. CoRR abs/2003.08367 (2020) - [i38]Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge J. Belongie:
DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CoRR abs/2004.02869 (2020) - [i37]Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen:
Depth Sensing Beyond LiDAR Range. CoRR abs/2004.03048 (2020) - [i36]Richard Tucker, Noah Snavely:
Single-View View Synthesis with Multiplane Images. CoRR abs/2004.11364 (2020) - [i35]Ranjita Thapa, Noah Snavely, Serge J. Belongie, Awais Khan:
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples. CoRR abs/2004.11958 (2020) - [i34]Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely:
Learning Feature Descriptors using Camera Pose Supervision. CoRR abs/2004.13324 (2020) - [i33]Zhiqiu Lin, Jin Sun, Abe Davis, Noah Snavely:
Visual Chirality. CoRR abs/2006.09512 (2020) - [i32]Vincent Sitzmann, Eric R. Chan, Richard Tucker, Noah Snavely, Gordon Wetzstein:
MetaSDF: Meta-learning Signed Distance Functions. CoRR abs/2006.09662 (2020) - [i31]Jake Levinson, Carlos Esteves, Kefan Chen, Noah Snavely, Angjoo Kanazawa, Afshin Rostamizadeh, Ameesh Makadia:
An Analysis of SVD for Deep Rotation Estimation. CoRR abs/2006.14616 (2020) - [i30]Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely:
Crowdsampling the Plenoptic Function. CoRR abs/2007.15194 (2020) - [i29]Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely:
Learning to Factorize and Relight a City. CoRR abs/2008.02796 (2020) - [i28]Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge J. Belongie, Noah Snavely, Bharath Hariharan:
Learning Gradient Fields for Shape Generation. CoRR abs/2008.06520 (2020) - [i27]Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely:
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails. CoRR abs/2008.08701 (2020) - [i26]Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun:
NeRF++: Analyzing and Improving Neural Radiance Fields. CoRR abs/2010.07492 (2020) - [i25]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. CoRR abs/2011.10007 (2020) - [i24]Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang:
Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. CoRR abs/2011.13084 (2020) - [i23]Margot Hanley, Apoorv Khandelwal, Hadar Averbuch-Elor, Noah Snavely, Helen Nissenbaum:
An Ethical Highlighter for People-Centric Dataset Creation. CoRR abs/2011.13583 (2020) - [i22]Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, Angjoo Kanazawa:
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. CoRR abs/2012.09855 (2020)
2010 – 2019
- 2019
- [c60]Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation With Multiplane Images. CVPR 2019: 175-184 - [c59]John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker:
DeepView: View Synthesis With Learned Gradient Descent. CVPR 2019: 2367-2376 - [c58]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CVPR 2019: 4521-4530 - [c57]Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla:
Neural Rerendering in the Wild. CVPR 2019: 6878-6887 - [c56]Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi:
TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CVPR 2019: 12538-12547 - [c55]Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala:
GeoStyle: Discovering Fashion Trends and Events. ICCV 2019: 411-420 - [c54]Wenqi Xian, Zhengqi Li, Noah Snavely, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman:
UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images. ICCV 2019: 9973-9982 - [c53]Kai Zhang, Noah Snavely, Jin Sun:
Leveraging Vision Reconstruction Pipelines for Satellite Imagery. ICCV Workshops 2019: 2139-2148 - [i21]Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla:
Neural Rerendering in the Wild. CoRR abs/1904.04290 (2019) - [i20]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CoRR abs/1904.11111 (2019) - [i19]Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely:
Pushing the Boundaries of View Extrapolation with Multiplane Images. CoRR abs/1905.00413 (2019) - [i18]John Flynn, Michael Broxton, Paul E. Debevec, Matthew DuVall, Graham Fyffe, Ryan S. Overbeck, Noah Snavely, Richard Tucker:
DeepView: View Synthesis with Learned Gradient Descent. CoRR abs/1906.07316 (2019) - [i17]Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely:
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images. CoRR abs/1908.07070 (2019) - [i16]Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala
:
GeoStyle: Discovering Fashion Trends and Events. CoRR abs/1908.11412 (2019) - [i15]Kai Zhang, Jin Sun, Noah Snavely:
Leveraging Vision Reconstruction Pipelines for Satellite Imagery. CoRR abs/1910.02989 (2019) - 2018
- [j23]Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely:
Stereo magnification: learning view synthesis using multiplane images. ACM Trans. Graph. 37(4): 65:1-65:12 (2018) - [c52]Zhengqi Li, Noah Snavely:
MegaDepth: Learning Single-View Depth Prediction From Internet Photos. CVPR 2018: 2041-2050 - [c51]Zhengqi Li, Noah Snavely:
Learning Intrinsic Image Decomposition From Watching the World. CVPR 2018: 9039-9048 - [c50]Shubham Tulsiani, Richard Tucker, Noah Snavely:
Layer-Structured 3D Scene Inference via View Synthesis. ECCV (7) 2018: 311-327 - [c49]Zhengqi Li, Noah Snavely:
CGIntrinsics: Better Intrinsic Image Decomposition Through Physically-Based Rendering. ECCV (3) 2018: 381-399 - [c48]Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi:
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. NeurIPS 2018: 2063-2074 - [i14]Zhengqi Li, Noah Snavely:
Learning Intrinsic Image Decomposition from Watching the World. CoRR abs/1804.00582 (2018) - [i13]Zhengqi Li, Noah Snavely:
MegaDepth: Learning Single-View Depth Prediction from Internet Photos. CoRR abs/1804.00607 (2018) - [i12]Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, Noah Snavely:
Stereo Magnification: Learning View Synthesis using Multiplane Images. CoRR abs/1805.09817 (2018) - [i11]Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi:
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. CoRR abs/1807.03146 (2018) - [i10]Shubham Tulsiani, Richard Tucker, Noah Snavely:
Layer-structured 3D Scene Inference via View Synthesis. CoRR abs/1807.10264 (2018) - [i9]Zhengqi Li, Noah Snavely:
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering. CoRR abs/1808.08601 (2018) - [i8]Howard Chen, Alane Suhr, Dipendra Kumar Misra, Noah Snavely, Yoav Artzi:
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments. CoRR abs/1811.12354 (2018) - 2017
- [j22]William T. Freeman, Andreas E. Savakis, Yoav Y. Schechner, Noah Snavely, Wolfgang Heidrich:
Guest Editorial Special Issue on Extreme Imaging. IEEE Trans. Computational Imaging 3(3): 382-383 (2017) - [c47]Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala:
Shading Annotations in the Wild. CVPR 2017: 850-859 - [c46]Paul Upchurch, Jacob R. Gardner, Geoff Pleiss, Robert Pless, Noah Snavely, Kavita Bala, Kilian Q. Weinberger:
Deep Feature Interpolation for Image Content Changes. CVPR 2017: 6090-6099 - [c45]Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. CVPR 2017: 6612-6619 - [i7]Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe:
Unsupervised Learning of Depth and Ego-Motion from Video. CoRR abs/1704.07813 (2017) - [i6]Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala:
Shading Annotations in the Wild. CoRR abs/1705.01156 (2017) - [i5]Kevin Matzen, Kavita Bala, Noah Snavely:
StreetStyle: Exploring world-wide clothing styles from millions of photos. CoRR abs/1706.01869 (2017) - 2016
- [j21]Albert J. Liu, Steve Marschner, Noah Snavely:
Caliber: Camera Localization and Calibration Using Rigidity Constraints. Int. J. Comput. Vis. 118(1): 1-21 (2016) - [j20]Daniel Cabrini Hauagge, Scott Wehrwein, Kavita Bala, Noah Snavely:
Photometric Ambient Occlusion for Intrinsic Image Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 639-651 (2016) - [j19]Robert Anderson, David Gallup, Jonathan T. Barron, Janne Kontkanen, Noah Snavely, Carlos Hernández, Sameer Agarwal, Steven M. Seitz:
Jump: virtual reality video. ACM Trans. Graph. 35(6): 198:1-198:13 (2016) - [c44]John Flynn, Ivan Neulander, James Philbin, Noah Snavely:
Deep Stereo: Learning to Predict New Views from the World's Imagery. CVPR 2016: 5515-5524 - [c43]Kyle Wilson, David Bindel, Noah Snavely:
When is Rotations Averaging Hard? ECCV (7) 2016: 255-270 - [p1]Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher, Pascal Fua:
Worldwide Pose Estimation Using 3D Point Clouds. Large-Scale Visual Geo-Localization 2016: 147-163 - [i4]Paul Upchurch, Noah Snavely, Kavita Bala:
From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators. CoRR abs/1603.02003 (2016) - [i3]Paul Upchurch, Jacob R. Gardner, Kavita Bala, Robert Pless, Noah Snavely, Kilian Q. Weinberger:
Deep Feature Interpolation for Image Content Changes. CoRR abs/1611.05507 (2016) - 2015
- [j18]Noah Snavely:
Technical Perspective: Paris Beyond Frommer's. Commun. ACM 58(12): 102 (2015) - [j17]Song Cao, Noah Snavely:
Graph-Based Discriminative Learning for Location Recognition. Int. J. Comput. Vis. 112(2): 239-254 (2015) - [c42]Scott Wehrwein, Kavita Bala, Noah Snavely:
Shadow Detection and Sun Direction in Photo Collections. 3DV 2015: 460-468 - [c41]Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala:
Material recognition in the wild with the Materials in Context Database. CVPR 2015: 3479-3487 - [c40]Kathleen Tuite, Rahul Banerjee, Noah Snavely, Jovan Popovic, Zoran Popovic:
PointCraft: Harnessing Players' FPS Skills to Interactively Trace Point Clouds in 3D. FDG 2015 - [c39]Kevin Matzen, Noah Snavely:
BubbLeNet: Foveated Imaging for Visual Discovery. ICCV 2015: 1931-1939 - [i2]John Flynn, Ivan Neulander, James Philbin, Noah Snavely:
DeepStereo: Learning to Predict New Views from the World's Imagery. CoRR abs/1506.06825 (2015) - 2014
- [j16]Sean Bell, Kavita Bala, Noah Snavely:
Intrinsic images in the wild. ACM Trans. Graph. 33(4): 159:1-159:12 (2014) - [c38]Daniel Cabrini Hauagge, Scott Wehrwein, Paul Upchurch, Kavita Bala, Noah Snavely:
Reasoning about Photo Collections using Models of Outdoor Illumination. BMVC 2014 - [c37]Song Cao, Noah Snavely:
Minimal Scene Descriptions from Structure from Motion Models. CVPR 2014: 461-468 - [c36]Kyle Wilson, Noah Snavely:
Robust Global Translations with 1DSfM. ECCV (3) 2014: 61-75 - [c35]Kevin Matzen, Noah Snavely:
Scene Chronology. ECCV (7) 2014: 615-630 - [i1]Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala:
Material recognition in the wild with the Materials in Context Database. CoRR abs/1412.0623 (2014) - 2013
- [j15]David J. Crandall, Andrew Owens, Noah Snavely, Daniel P. Huttenlocher:
SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2841-2853 (2013) - [j14]Sean Bell, Paul Upchurch, Noah Snavely, Kavita Bala:
OpenSurfaces: a richly annotated catalog of surface appearance. ACM Trans. Graph. 32(4): 111:1-111:17 (2013) - [j13]Richard Szeliski, Noah Snavely, Steven M. Seitz:
Navigating the worldwide community of photos. ACM Trans. Multim. Comput. Commun. Appl. 9(1s): 47:1-47:4 (2013) - [c34]Chun-Po Wang, Kyle Wilson, Noah Snavely:
Accurate Georegistration of Point Clouds Using Geographic Data. 3DV 2013: 33-40 - [c33]Song Cao, Noah Snavely:
Graph-Based Discriminative Learning for Location Recognition. CVPR 2013: 700-707 - [c32]Daniel Cabrini Hauagge, Scott Wehrwein, Kavita Bala, Noah Snavely:
Photometric Ambient Occlusion. CVPR 2013: 2515-2522 - [c31]Kyle Wilson, Noah Snavely:
Network Principles for SfM: Disambiguating Repeated Structures with Local Context. ICCV 2013: 513-520 - [c30]Kevin Matzen, Noah Snavely:
NYC3DCars: A Dataset of 3D Vehicles in Geographic Context. ICCV 2013: 761-768 - 2012
- [j12]David J. Crandall, Noah Snavely:
Modeling people and places with internet photo collections. Commun. ACM 55(6): 52-60 (2012) - [j11]Guowei Wan, Noah Snavely, Daniel Cohen-Or, Qian Zheng, Baoquan Chen, Sikun Li:
Sorting unorganized photo sets for urban reconstruction. Graph. Model. 74(1): 14-28 (2012) - [c29]Daniel Cabrini Hauagge, Noah Snavely:
Image matching using local symmetry features. CVPR 2012: 206-213 - [c28]Amir Sadovnik, Yi-I Chiu, Noah Snavely, Shimon Edelman, Tsuhan Chen:
Image description with a goal: Building efficient discriminating expressions for images. CVPR 2012: 2791-2798 - [c27]Yunpeng Li, Noah Snavely, Dan Huttenlocher, Pascal Fua:
Worldwide Pose Estimation Using 3D Point Clouds. ECCV (1) 2012: 15-29 - [c26]Yin Lou, Noah Snavely, Johannes Gehrke:
MatchMiner: Efficient Spanning Structure Mining in Large Image Collections. ECCV (2) 2012: 45-58 - [c25]Song Cao, Noah Snavely:
Learning to Match Images in Large-Scale Collections. ECCV Workshops (1) 2012: 259-270 - [c24]Adarsh Kowdle, Noah Snavely, Tsuhan Chen:
Recovering depth of a dynamic scene using real world motion prior. ICIP 2012: 1209-1212 - 2011
- [j10]Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M. Seitz, Richard Szeliski:
Building Rome in a day. Commun. ACM 54(10): 105-112 (2011) - [j9]Noah Snavely:
Scene Reconstruction and Visualization from Internet Photo Collections: A Survey. IPSJ Trans. Comput. Vis. Appl. 3: 44-66 (2011) - [j8]Chun-Po Wang, Noah Snavely, Steve Marschner:
Estimating dual-scale properties of glossy surfaces from step-edge lighting. ACM Trans. Graph. 30(6): 172 (2011) - [c23]Peter L. Cho, Noah Snavely:
3D exploitation of 2D ground-level & aerial imagery. AIPR 2011: 1-8 - [c22]Kathleen Tuite, Noah Snavely, Dun-Yu Hsiao, Nadine Tabing, Zoran Popovic:
PhotoCity: training experts at large-scale image acquisition through a competitive game. CHI 2011: 1383-1392 - [c21]Rahul Garg, Steven M. Seitz, Deva Ramanan, Noah Snavely:
Where's Waldo: Matching people in images of crowds. CVPR 2011: 1793-1800 - [c20]David J. Crandall, Andrew Owens, Noah Snavely, Dan Huttenlocher:
Discrete-continuous optimization for large-scale structure from motion. CVPR 2011: 3001-3008 - [c19]Peter L. Cho, Noah Snavely:
3D exploitation of 2D video from a hand-launched aerial glider. SIGGRAPH Posters 2011: 26 - 2010
- [j7]Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Brian Curless, Steven M. Seitz, Richard Szeliski:
Reconstructing Rome. Computer 43(6): 40-47 (2010) - [j6]Noah Snavely, Ian Simon, Michael Goesele, Richard Szeliski, Steven M. Seitz:
Scene Reconstruction and Visualization From Community Photo Collections. Proc. IEEE 98(8): 1370-1390 (2010) - [c18]Karl S. Ni, Zachary Sun, Nadya T. Bliss, Noah Snavely:
Construction and exploitation of a 3D model from 2D image features. Computational Imaging 2010: 75330 - [c17]Sameer Agarwal, Noah Snavely, Steven M. Seitz, Richard Szeliski:
Bundle Adjustment in the Large. ECCV (2) 2010: 29-42 - [c16]Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher:
Location Recognition Using Prioritized Feature Matching. ECCV (2) 2010: 791-804 - [c15]Kathleen Tuite, Noah Snavely, Dun-Yu Hsiao, Adam M. Smith, Zoran Popovic:
Reconstructing the world in 3D: bringing games with a purpose outdoors. FDG 2010: 232-239 - [c14]Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Chen:
Towards computational models of kinship verification. ICIP 2010: 1577-1580
2000 – 2009
- 2009
- [c13]R. S. Kaminsky, Noah Snavely, Steven M. Seitz, Richard Szeliski:
Alignment of 3D point clouds to overhead images. CVPR Workshops 2009: 63-70 - [c12]Sameer Agarwal, Noah Snavely, Ian Simon, Steven M. Seitz, Richard Szeliski:
Building Rome in a day. ICCV 2009: 72-79 - [c11]Rahul Garg, Hao Du, Steven M. Seitz, Noah Snavely:
The dimensionality of scene appearance. ICCV 2009: 1917-1924 - 2008
- [j5]Noah Snavely, Steven M. Seitz, Richard Szeliski:
Modeling the World from Internet Photo Collections. Int. J. Comput. Vis. 80(2): 189-210 (2008) - [j4]Noah Snavely, Rahul Garg, Steven M. Seitz, Richard Szeliski:
Finding paths through the world's photos. ACM Trans. Graph. 27(3): 15 (2008) - [c10]Sameer Agarwal, Noah Snavely, Steven M. Seitz:
Fast algorithms for L∞ problems in multiview geometry. CVPR 2008 - [c9]Noah Snavely, Steven M. Seitz, Richard Szeliski:
Skeletal graphs for efficient structure from motion. CVPR 2008 - 2007
- [c8]Michael Goesele, Noah Snavely, Brian Curless, Hugues Hoppe, Steven M. Seitz:
Multi-View Stereo for Community Photo Collections. ICCV 2007: 1-8 - [c7]Ian Simon, Noah Snavely, Steven M. Seitz:
Scene Summarization for Online Image Collections. ICCV 2007: 1-8 - [c6]Pravin Bhat, C. Lawrence Zitnick, Noah Snavely, Aseem Agarwala, Maneesh Agrawala, Michael F. Cohen, Brian Curless, Sing Bing Kang:
Using Photographs to Enhance Videos of a Static Scene. Rendering Techniques 2007: 327-338 - 2006
- [j3]Noah Snavely, Steven M. Seitz, Richard Szeliski:
Photo tourism: exploring photo collections in 3D. ACM Trans. Graph. 25(3): 835-846 (2006) - [c5]Pravin Bhat, Ke Colin Zheng, Noah Snavely, Aseem Agarwala, Maneesh Agrawala, Michael F. Cohen, Brian Curless:
Piecewise Image Registration in the Presence of Multiple Large Motions. CVPR (2) 2006: 2491-2497 - [c4]Noah Snavely, C. Lawrence Zitnick, Sing Bing Kang, Michael F. Cohen:
Stylizing 2.5-D video. NPAR 2006: 63-69 - 2005
- [j2]