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Sketching or doodling is a popular creative activity that people engage in.
Creativity and Artificial Intelligence
Margaret A Boden · 1998
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Potrace: a polygon-based tracing algorithm
Peter Selinger · 2003
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Composite Templates for Cloth Modeling and Sketching
Hong Chen, Zi Jian Xu, Zi Qiang Liu, and Song Chun Zhu · 2006
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A Hierarchical Compositional Model for FaceRepresentation and Sketching
Zijian Xu, Hong Chen, Song-Chun Zhu, and Jiebo Luo · 2008
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Cooks or Cobblers? Crowd Creativity through Combination
Lixiu Yu and Jeffrey V Nickerson · 2011
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How Do Humans Sketch Objects?
Mathias Eitz, James Hays, and Marc Alexa · 2012
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz, and Soumith Chintala · 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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Sketch-a-Net that Beats Humans
Qian Yu, Yongxin Yang, Yi-Zhe Song, Tao Xiang, and Timothy Hospedales · 2015
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Quick, Draw! The Data, 2016
Jonas Jongejan, Henry Rowley, Takashi Kawashima, Jongmin Kim, and Nick Fox-Gieg · 2016
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Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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The Sketchy Database: Learning to Retrieve Badly Drawn Bunnies
Patsorn Sangkloy, Nathan Burnell, Cusuh Ham, and James Hays · 2016
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Example-Based Sketch Segmentation and Labeling Using CRFs
Rosalia G Schneider and Tinne Tuytelaars · 2016
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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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Sketch Me That
Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M Hospedales, and Chen-Change Loy · 2016
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Sketch-pix2seq: A Model to Generate Sketches of Multiple Categories
Yajing Chen, Shikui Tu, Yuqi Yi, and Lei Xu · 2017
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Adversarial Feature Learning
Jeff Donahue, Philipp Krähenbühl, and Trevor Darrell · 2017
Cited alongside, same era.
edges2cats, 2017
Christopher Hesse · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Image-to-image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
AutoDraw, 2017
Google Creative Lab · 2017
Cited alongside, same era.
Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval
Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, and Ling Shao · 2017
Cited alongside, same era.
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Tao Zhou, Chen Fang, Zhaowen Wang, Jimei Yang, Byungmoon Kim, Zhili Chen, Jonathan Brandt, and Demetri Terzopoulos · 2018
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Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A Efros, Oliver Wang, and Eli Shechtman · 2018
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AI-Sketcher: A Deep Generative Model for Producing High-quality Sketches
Nan Cao, Xin Yan, Yang Shi, and Chaoran Chen · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Learning to Paint With Model-based Deep Reinforcement Learning
Zhewei Huang, Wen Heng, and Shuchang Zhou · 2019
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rmsprop: Divide the gradient by a running average of its recent magnitude
Tijmen Tieleman and Geoffrey Hinton · 2017
Cited alongside, same era.
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
Jianwei Yang, Anitha Kannan, Dhruv Batra, and Devi Parikh · 2017
Cited alongside, same era.
Dreaming of Electric Sheep, 2018
Ernesto Diaz-Aviles · 2018
Cited alongside, same era.
A Neural Representation of Sketch Drawings
David Ha and Douglas Eck · 2018
Cited alongside, same era.
Image Generation from Scene Graphs
Justin Johnson, Agrim Gupta, and Li Fei-Fei · 2018
Cited alongside, same era.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
Cited alongside, same era.
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
Later among the works it cites.
SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network
Fang Liu, Xiaoming Deng, Yu-Kun Lai, Yong-Jin Liu, Cuixia Ma, and Hongan Wang · 2019
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Unsupervised Doodling and Painting with Improved SPIRAL
John FJ Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, and SM Eslami · 2019
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GauGAN: Semantic Image Synthesis with Spatially Adaptive Normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge, Eric P. Xing, and Zachary C. Lipton · 2019
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SketchyCOCO: Image Generation From Freehand Scene Sketches
Chengying Gao, Qi Liu, Qi Xu, Limin Wang, Jianzhuang Liu, and Changqing Zou · 2020
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Analyzing and Improving the Image Quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt
Hangyu Lin, Yanwei Fu, Xiangyang Xue, and Yu-Gang Jiang · 2020
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Sketchformer: Transformer-based Representation for Sketched Structure
Leo Sampaio Ferraz Ribeiro, Tu Bui, John Collomosse, and Moacir Ponti · 2020
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Deep Learning for Free-Hand Sketch: A Survey and A Toolbox
Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, and Liang Wang · 2020
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SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
Lumin Yang, Jiajie Zhuang, Hongbo Fu, Kun Zhou, and Youyi Zheng · 2020
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