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Generative models able to synthesize layouts of different kinds (e.g.
Speech understanding systems
Mark F. Medress, Franklin S. Cooper, James W. Forgie, C. C. Green, Dennis H. Klatt, Michael H. O’Malley, Edward P. Neuburg, Allen Newell, Raj Reddy, H. Barry Ritea, J. E. Shoup-Hummel, Donald E. Walker, and William A. Woods · 1977
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Learning task-dependent distributed representations by backpropagation through structure
Christoph Goller and Andreas Küchler · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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A category-level 3-d object dataset: Putting the kinect to work
Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, and Trevor Darrell · 2011
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Indoor segmentation and support inference from RGBD images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
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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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Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Variational dropout and the local reparameterization trick
Durk P Kingma, Tim Salimans, and Max Welling · 2015
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Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun · 2015
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SUN RGB-D: A RGB-D scene understanding benchmark suite
Shuran Song, Samuel P. Lichtenberg, and Jianxiong Xiao · 2015
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Generating sentences from a continuous space
Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Józefowicz, and Samy Bengio · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Improved variational inference with inverse autoregressive flow
Durk P Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, and Max Welling · 2016
Cited alongside, same era.
Variational lossy autoencoder
Xi Chen, Diederik P Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, and Pieter Abbeel · 2017
Cited alongside, same era.
Rico: A mobile app dataset for building data-driven design applications
Biplab Deka, Zifeng Huang, Chad Franzen, Joshua Hibschman, Daniel Afergan, Yang Li, Jeffrey Nichols, and Ranjitha Kumar · 2017
Cited alongside, same era.
Layoutgan: Generating graphic layouts with wireframe discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, and Tingfa Xu · 2019
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A transformer-based variational autoencoder for sentence generation
Danyang Liu and Gongshen Liu · 2019
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Fast and flexible indoor scene synthesis via deep convolutional generative models
Daniel Ritchie, Kai Wang, and Yu-An Lin · 2019
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Image synthesis from reconfigurable layout and style
Wei Sun and Tianfu Wu · 2019
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T-CVAE: transformer-based conditioned variational autoencoder for story completion
Tianming Wang and Xiaojun Wan · 2019
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Content-aware generative modeling of graphic design layouts
Ying Cao Xinru Zheng, Xiaotian Qiao and Rynson W.H. Lau · 2019
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Paul Henderson, Kartic Subr, and Vittorio Ferrari · 2017
Cited alongside, same era.
Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, and Thomas A. Funkhouser · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Learning to extract semantic structure from documents using multimodal fully convolutional neural networks
Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, and C. Lee Giles · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Cited alongside, same era.
Deep convolutional priors for indoor scene synthesis
Kai Wang, Manolis Savva, Angel X Chang, and Daniel Ritchie · 2018
Cited alongside, same era.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
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Publaynet: largest dataset ever for document layout analysis
Xu Zhong, Jianbin Tang, and Antonio Jimeno Yepes · 2019
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Jianmo Ni, Jiacheng Li, and Julian McAuley · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Layout Generation and Completion with Self-attention
Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, and Abhinav Shrivastava · 2020
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Neural design network: Graphic layout generation with constraints
Hsin-Ying Lee, Weilong Yang, Lu Jiang, Madison Le, Irfan Essa, Haifeng Gong, and Ming-Hsuan Yang · 2020
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Variational transformers for diverse response generation
Zhaojiang Lin, Genta Indra Winata, Peng Xu, Zihan Liu, and Pascale Fung · 2020
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READ: recursive autoencoders for document layout generation
Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, and Hadar Averbuch-Elor · 2020
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Layoutlm: Pre-training of text and layout for document image understanding
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou · 2020
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