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We present HoliCity, a city-scale 3D dataset with rich structural information.
Machine perception of three-dimensional solids
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Brian Curless and Marc Levoy · 1996
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CityGML: Interoperable access to 3D city models
Thomas H Kolbe, Gerhard Gröger, and Lutz Plümer · 2005
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Poisson surface reconstruction
Michael Kazhdan, Matthew Bolitho, and Hugues Hoppe · 2006
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ST-DBSCAN: An algorithm for clustering spatial–temporal data
Derya Birant and Alp Kut · 2007
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Robust multiple structures estimation with J-linkage
Roberto Toldo and Andrea Fusiello · 2008
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LayoutNet: Reconstructing the 3D room layout from a single RGB image
Chuhang Zou, Alex Colburn, Qi Shan, and Derek Hoiem · 2008
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Efficient edge-based methods for estimating manhattan frames in urban imagery
Patrick Denis, James H Elder, and Francisco J Estrada · 2008
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Geometric image parsing in man-made environments
Olga Barinova, Victor Lempitsky, Elena Tretiak, and Pushmeet Kohli · 2010
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Semi-automatic 3D reconstruction of piecewise planar building models from single image
Chen Feng, Fei Deng, and Vineet R Kamat · 2010
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LSD: A fast line segment detector with a false detection control
Rafael Grompone Von Gioi, Jeremie Jakubowicz, Jean-Michel Morel, and Gregory Randall · 2010
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ORB: An efficient alternative to SIFT or SURF
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski · 2011
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Three things everyone should know to improve object retrieval
Relja Arandjelović and Andrew Zisserman · 2012
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Indoor segmentation and support inference from rgbd images
Pushmeet Kohli Nathan Silberman, Derek Hoiem and Rob Fergus · 2012
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Vision meets robotics: The KITTI dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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SUN3D: A database of big spaces reconstructed using sfm and object labels
Jianxiong Xiao, Andrew Owens, and Antonio Torralba · 2013
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Scene coordinate regression forests for camera relocalization in rgb-d images
Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, and Andrew Fitzgibbon · 2013
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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, et al · 2015
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
David Eigen and Rob Fergus · 2015
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U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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3D bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Kosecka · 2017
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Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
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Geometric loss functions for camera pose regression with deep learning
Alex Kendall and Roberto Cipolla · 2017
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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MegaDepth: Learning single-view depth prediction from internet photos
Zhengqi Li and Noah Snavely · 2018
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PlaneNet: Piece-wise planar reconstruction from a single RGB image
Chen Liu, Jimei Yang, Duygu Ceylan, Ersin Yumer, and Yasutaka Furukawa · 2018
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Xiaolong Wang, David Fouhey, and Abhinav Gupta · 2015
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Marr revisited: 2D-3D alignment via surface normal prediction
Aayush Bansal, Bryan Russell, and Abhinav Gupta · 2016
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Playing for data: Ground truth from computer games
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
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The SYNTHIA dataset: A large collection of synthetic images for semantic segmentation of urban scenes
German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio M. Lopez · 2016
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Perspective transformer nets: Learning single-view 3D object reconstruction without 3D supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
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Horizon lines in the wild
Scott Workman, Menghua Zhai, and Nathan Jacobs · 2016
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Joint 2D-3D-semantic data for indoor scene understanding
Iro Armeni, Sasha Sax, Amir R Zamir, and Silvio Savarese · 2017
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Recovering 3D planes from a single image via convolutional neural networks
Fengting Yang and Zihan Zhou · 2018
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Learning less is more-6d camera localization via 3d surface regression
Eric Brachmann and Carsten Rother · 2018
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FrameNet: Learning local canonical frames of 3D surfaces from a single RGB image
Jingwei Huang, Yichao Zhou, Thomas Funkhouser, and Leonidas Guibas · 2019
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PlaneRCNN: 3D plane detection and reconstruction from a single image
Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, and Jan Kautz · 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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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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Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
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Single-image piece-wise planar 3d reconstruction via associative embedding
Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, and Shenghua Gao · 2019
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NeurVPS: Neural vanishing point scanning via conic convolution
Yichao Zhou, Haozhi Qi, Jingwei Huang, and Yi Ma · 2019
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End-to-end wireframe parsing
Yichao Zhou, Haozhi Qi, and Yi Ma · 2019
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Learning to reconstruct 3D Manhattan wireframes from a single image
Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, and Yi Ma · 2019
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Bundle pooling for polygonal architecture segmentation problem
Huayi Zeng, Kevin Joseph, Adam Vest, and Yasutaka Furukawa · 2020
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