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Conditional graphic layout generation, which generates realistic layouts according to user constraints, is a challenging task that has not been well-studied yet.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Guided open vocabulary image captioning with constrained beam search
Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould · 2017
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Lexically constrained decoding for sequence generation using grid beam search
Chris Hokamp and Qun Liu · 2017
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Neural semantic parsing with type constraints for semi-structured tables
Jayant Krishnamurthy, Pradeep Dasigi, and Matt Gardner · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Learning design semantics for mobile apps
Thomas F. Liu, Mark Craft, Jason Situ, Ersin Yumer, Radomir Mech, and Ranjitha Kumar · 2018
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Fast lexically constrained decoding with dynamic beam allocation for neural machine translation
Matt Post and David Vilar · 2018
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Improved lexically constrained decoding for translation and monolingual rewriting
J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, and Benjamin Van Durme · 2019
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Layoutgan: Generating graphic layouts with wireframe discriminators, 2019
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, and Tingfa Xu · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Content-aware generative modeling of graphic design layouts
Xinru Zheng, Xiaotian Qiao, Ying Cao, and Rynson W. H. Lau · 2019
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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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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi · 2020
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Neural design network: Graphic layout generation with constraints
Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B. Le, Haifeng Gong, Ming-Hsuan Yang, and Weilong Yang · 2020
Cited alongside, same era.
Read: Recursive autoencoders for document layout generation
Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, and Hadar Averbuch-Elor · 2020
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Attribute-conditioned layout gan for automatic graphic design
Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, and Tingfa Xu · 2021
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NeuroLogic decoding: (un)supervised neural text generation with predicate logic constraints
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi · 2021
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Diverse multimedia layout generation with multi choice learning
David D. Nguyen, Surya Nepal, and Salil S. Kanhere · 2021
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Ruite: Refining ui layout aesthetics using transformer encoder
Soliha Rahman, Vinoth Pandian Sermuga Pandian, and Matthias Jarke · 2021
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PICARD: Parsing incrementally for constrained auto-regressive decoding from language models
Torsten Scholak, Nathan Schucher, and Dzmitry Bahdanau · 2021
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Canvasvae: Learning to generate vector graphic documents
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Maosen Zhang, Nan Jiang, Lei Li, and Yexiang Xue · 2020
Cited alongside, same era.
Variational transformer networks for layout generation
Diego Martin Arroyo, Janis Postels, and Federico Tombari · 2021
Cited alongside, same era.
Layouttransformer: Layout generation and completion with self-attention
Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry S. Davis, Vijay Mahadevan, and Abhinav Shrivastava · 2021
Cited alongside, same era.
Constrained graphic layout generation via latent optimization
Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, and Kota Yamaguchi · 2021
Cited alongside, same era.
Blt: Bidirectional layout transformer for controllable layout generation, 2021
Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, and Irfan Essa · 2021
Cited alongside, same era.
Kota Yamaguchi · 2021
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Coarse-to-fine generative modeling for graphic layouts
Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, and Dongmei Zhang · 2022
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NeuroLogic a*esque decoding: Constrained text generation with lookahead heuristics
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, and Yejin Choi · 2022
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COLD decoding: Energy-based constrained text generation with langevin dynamics
Lianhui Qin, Sean Welleck, Daniel Khashabi, and Yejin Choi · 2022
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Few-shot semantic parsing with language models trained on code
Richard Shin and Benjamin Van Durme · 2022
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