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To what extent is the success of deep visualization due to the training? Could we do deep visualization using untrained, random weight networks? To address this issue, we explore new and powerful generative models for three popular deep visualization tasks using untrained, random weight convolutional neural networks.
Visualizing higher-layer features of a deep network
Dumitru Erhan, Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2009
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K. Simonyan and A. Zisserman · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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ImageNet Large Scale Visual Recognition Challenge
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Understanding deep image representations by inverting them
Aravindh Mahendran and Andrea Vedaldi · 2015
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Texture synthesis using convolutional neural networks
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2015
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Understanding neural networks through deep visualization
Jason Yosinski, Jeff Clune, Anh Nguyen, Thomas Fuchs, and Hod Lipson · 2015
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Inverting visual representations with convolutional networks
Alexey Dosovitskiy and Thomas Brox · 2015
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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
Anh Nguyen, Jason Yosinski, and Jeff Clune · 2015
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Understanding intra-class knowledge inside CNN
Donglai Wei, Bolei Zhou, Antonio Torralba, and William T. Freeman · 2015
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Deep manifold traversal: Changing labels with convolutional features
Jacob R. Gardner, Paul Upchurch, Matt J. Kusner, Yixuan Li, Kilian Q. Weinberger, and John E. Hopcroft · 2015
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Exploring the neural algorithm of artistic style
Yaroslav Nikulin and Roman Novak · 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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L. A. Gatys, A. S. Ecker, and M. Bethge · 2015
Cited alongside, same era.
A neural algorithm of artistic style
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2015
Cited alongside, same era.
Anh Mai Nguyen, Jason Yosinski, and Jeff Clune · 2016
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Generating images with perceptual similarity metrics based on deep networks
Alexey Dosovitskiy and Thomas Brox · 2016
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Texture networks: Feed-forward synthesis of textures and stylized images
Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi, and Victor Lempitsky · 2016
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