Fetching the paper…
Reading the bibliography…
A recent paper by Gatys et al.
On the limited memory bfgs method for large scale optimization
Dong C Liu and Jorge Nocedal · 1989
Earlier work this paper cites.
Pyramid-based texture analysis/synthesis
David J Heeger and James R Bergen · 1995
Earlier work this paper cites.
Texture synthesis by non-parametric sampling
Alexei A Efros and Thomas K Leung · 1999
Earlier work this paper cites.
Image quilting for texture synthesis and transfer
Alexei A Efros and William T Freeman · 2001
Earlier work this paper cites.
State of the art in example-based texture synthesis
Li-Yi Wei, Sylvain Lefebvre, Vivek Kwatra, and Greg Turk · 2009
Earlier work this paper cites.
Secrets of optical flow estimation and their principles
Deqing Sun, Stefan Roth, and Michael J Black · 2010
Earlier work this paper cites.
Large displacement optical flow: descriptor matching in variational motion estimation
Thomas Brox and Jitendra Malik · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Cnn features off-the-shelf: an astounding baseline for recognition
Ali Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
Cited alongside, same era.
A neural algorithm of artistic style
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Cited alongside, same era.
Understanding deep image representations by inverting them
Aravindh Mahendran and Andrea Vedaldi · 2015
Cited alongside, same era.
Visualizing and understanding deep texture representations
Tsung-Yu Lin and Subhransu Maji · 2015
Later among the works it cites.
Learning frame models using cnn filters for knowledge visualization
Yang Lu, Song-Chun Zhu, and Ying Nian Wu · 2015
Later among the works it cites.
Deep generative image models using a laplacian pyramid of adversarial networks
Emily L Denton, Soumith Chintala, Rob Fergus, et al · 2015
Later among the works it cites.
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, Dan 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
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Deep filter banks for texture recognition and segmentation
M Cimpoi, S Maji, and A Vedaldi · 2015
Cited alongside, same era.
Inceptionism: Going deeper into neural networks, google research blog
Alexander Mordvintsev, Michael Tyka, and Christopher Olah · 2015
Cited alongside, same era.
Texture Synthesis Using Convolutional Neural Networks
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2015
Cited alongside, same era.
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Closest in time.
Texture networks: Feed-forward synthesis of textures and stylized images
Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, and Victor Lempitsky · 2016
Closest in time.
Combining markov random fields and convolutional neural networks for image synthesis
Chuan Li and Michael Wand · 2016
Closest in time.
Content aware neural style transfer
Rujie Yin · 2016
Closest in time.