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We propose Neural Turtle Graphics (NTG), a novel generative model for spatial graphs, and demonstrate its applications in modeling city road layouts.
An iterative procedure for the polygonal approximation of plane curves
Urs Ramer · 1972
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Algorithms for the reduction of the number of points required to represent a digitized line or its caricature
David H Douglas and Thomas K Peucker · 1973
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A learning algorithm for continually running fully recurrent neural networks
Ronald J Williams and David Zipser · 1989
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Procedural modeling of cities
Yoav I H Parish and Pascal Müller · 2001
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Interactive example-based urban layout synthesis
Daniel G Aliaga, Carlos A Vanegas, and Bedrich Benes · 2008
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Interactive procedural street modeling
Guoning Chen, Gregory Esch, Peter Wonka, Pascal Müller, and Eugene Zhang · 2008
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Interactive design of urban spaces using geometrical and behavioral modeling
Carlos A Vanegas, Daniel G Aliaga, Bedrich Benes, and Paul Waddell · 2009
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Authoring hierarchical road networks
Eric Galin, Adrien Peytavie, Éric Guérin, and Bedrich Benes · 2011
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Urban pattern - layout design by hierarchical domain splitting
Yong-Liang Yang, Jun Wang, Etienne Vouga, and Peter Wonka · 2013
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What makes london work like london?
Sawsan AlHalawani, Yong-Liang Yang, Peter Wonka, and Niloy J Mitra · 2014
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Procedural modelling of urban road networks
Jan Benes, Alexander Wilkie, and Jaroslav Krivánek · 2014
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Worldbrush - interactive example-based synthesis of procedural virtual worlds
Arnaud Emilien, Ulysse Vimont, Marie-Paule Cani, Pierre Poulin, and Bedrich Benes · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Example-driven procedural urban roads
G Nishida, I Garcia-Dorado, and D G Aliaga · 2015
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Crowd-driven mid-scale layout design
Tian Feng, Lap-Fai Yu, Sai-Kit Yeung, Kangkang Yin, and Kun Zhou · 2016
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Computational network design from functional specifications
Chi-Han Peng, Yong-Liang Yang, Fan Bao, Daniel Fink, Dong-Ming Yan, Peter Wonka, and Niloy J Mitra · 2016
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Netgan: Generating graphs via random walks
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner, and Stephan Günnemann · 2018
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Deepglobe 2018: A challenge to parse the earth through satellite images
Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, and Ramesh Raska · 2018
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Hierarchical recurrent attention networks for structured online maps
Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, and Raquel Urtasun · 2018
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Learning deep generative models of graphs
Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, and Peter Battaglia · 2018
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Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Annotating object instances with a polygon-rnn
Lluis Castrejon, Kaustav Kundu, Raquel Urtasun, and Sanja Fidler · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Deeproadmapper: Extracting road topology from aerial images
Gellért Máttyus, Wenjie Luo, and Raquel Urtasun · 2017
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Torontocity: Seeing the world with a million eyes
Shenlong Wang, Min Bai, Gellert Mattyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, and Raquel Urtasun · 2017
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Efficient interactive annotation of segmentation datasets with polygon-rnn++
David Acuna, Huan Ling, Amlan Kar, and Sanja Fidler · 2018
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Zuoyue Li, Jan Dirk Wegner, and Aurélien Lucchi · 2018
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Learning deep structured active contours end-to-end
Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, and Raquel Urtasun · 2018
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Graphvae: Towards generation of small graphs using variational autoencoders
Martin Simonovsky and Nikos Komodakis · 2018
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Graphrnn: Generating realistic graphs with deep auto-regressive models
Jiaxuan You, Rex Ying, Xiang Ren, William Hamilton, and Jure Leskovec · 2018
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Deep layer aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer, and Trevor Darrell · 2018
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Devil is in the edges: Learning semantic boundaries from noisy annotations
David Acuna, Amlan Kar, and Sanja Fidler · 2019
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Darnet: Deep active ray network for building segmentation
Dominic Cheng, Renjie Liao, Sanja Fidler, and Raquel Urtasun · 2019
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Fast interactive object annotation with curve-gcn
Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, and Sanja Fidler · 2019
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