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Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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Paint by numbers: Abstract image representations
Paul Haeberli · 1990
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Processing images and video for an impressionist effect
Peter Litwinowicz · 1997
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Painterly rendering with curved brush strokes of multiple sizes
Aaron Hertzmann · 1998
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Wiki art gallery, inc.: A case for critical thinking
Fred Phillips and Brandy Mackintosh · 2011
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Artist agent: A reinforcement learning approach to automatic stroke generation in oriental ink painting
Ning Xie, Hirotaka Hachiya, and Masashi Sugiyama · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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You only look once: Unified, real-time object detection, 2016
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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A neural representation of sketch drawings
David Ha and Douglas Eck · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Attention is all you need, 2017
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networkss
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Cartoongan: Generative adversarial networks for photo cartoonization
Yang Chen, Yu-Kun Lai, and Yong-Jin Liu · 2018
Cited alongside, same era.
Synthesizing programs for images using reinforced adversarial learning
Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, SM Ali Eslami, and Oriol Vinyals · 2018
Arbitrary style transfer with style-attentional networks
Dae Young Park and Kwang Hee Lee · 2019
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Fcos: Fully convolutional one-stage object detection, 2019
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Apdrawinggan: Generating artistic portrait drawings from face photos with hierarchical gans
Ran Yi, Yong-Jin Liu, Yu-Kun Lai, and Paul L Rosin · 2019
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Website, 2020
Datasets of pictures of natural landscapes · 2020
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End-to-end object detection with transformers, 2020
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Differentiable rendering: A survey
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, and Adrien Gaidon · 2020
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Learning linear transformations for fast arbitrary style transfer
Xueting Li, Sifei Liu, Jan Kautz, and Ming-Hsuan Yang · 2018
Cited alongside, same era.
Strokenet: A neural painting environment
Ningyuan Zheng, Yifan Jiang, and Dingjiang Huang · 2018
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
Cited alongside, same era.
Learning to paint with model-based deep reinforcement learning
Zhewei Huang, Wen Heng, and Shuchang Zhou · 2019
Cited alongside, same era.
A style-based generator architecture for generative adversarial networks, 2019
Tero Karras, Samuli Laine, and Timo Aila · 2019
Cited alongside, same era.
Style transfer by relaxed optimal transport and self-similarity
Nicholas Kolkin, Jason Salavon, and Gregory Shakhnarovich · 2019
Cited alongside, same era.
Later among the works it cites.
Learning to cartoonize using white-box cartoon representations
Xinrui Wang and Jinze Yu · 2020
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Unpaired portrait drawing generation via asymmetric cycle mapping
Ran Yi, Yong-Jin Liu, Yu-Kun Lai, and Paul L Rosin · 2020
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Stylized neural painting, 2020
Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, and Zhenwei Shi · 2020
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Rethinking style transfer: From pixels to parameterized brushstrokes
Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, and Björn Ommer · 2021
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Drafting and revision: Laplacian pyramid network for fast high-quality artistic style transfer
Tianwei Lin, Zhuoqi Ma, Fu Li, Dongliang He, Xin Li, Errui Ding, Nannan Wang, Jie Li, and Xinbo Gao · 2021
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Adaattn: Revisit attention mechanism in arbitrary neural style transfer
Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, and Errui Ding · 2021
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Rethinking rotated object detection with gaussian wasserstein distance loss, 2021
Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, and Qi Tian · 2021
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