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The unsupervised image-to-image translation aims at finding a mapping between the source ($A$) and target ($B$) image domains, where in many applications aligned image pairs are not available at training.
Extracting and composing robust features with denoising autoencoders
Vincent, P., Larochelle, H., Bengio, Y., and Manzagol, P.-A · 2008
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Generative adversarial nets
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A. C., and Bengio, Y · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
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Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2014
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Multispectral pedestrian detection: Benchmark dataset and baseline
Hwang, S., Park, J., Kim, N., Choi, Y., and Kweon, I. S · 2015
Earlier work this paper cites.
End to end learning for self-driving cars
Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., Jackel, L. D., Monfort, M., Muller, U., Zhang, J., Zhang, X., Zhao, J., and Zieba, K · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Perceptual losses for real-time style transfer and super-resolution
Johnson, J., Alahi, A., and Fei-Fei, Li · 2016
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Coupled generative adversarial networks
Liu, M.-Y. and Tuzel, O · 2016
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Unsupervised cross-domain image generation
Taigman, Y., Polyak, A., and Wolf, L · 2016
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Texture networks: Feed-forward synthesis of textures and stylized images
Ulyanov, D., Lebedev, V., Vedaldi, A., and Lempitsky, V. S · 2016
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Unsupervised image-to-image translation with generative adversarial networks
Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A · 2017
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Unsupervised image-to-image translation networks
Liu, M.-Y., Breuel, T., and Kautz, J · 2017
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Convolutional neural networks for inverse problems in imaging: A review
McCann, M. T., Jin, K. H., and Unser, M · 2017
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Parallel multi channel convolution using general matrix multiplication
Vasudevan, A., Anderson, A., and Gregg, D · 2017
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High-resolution image synthesis and semantic manipulation with conditional gans
Wang, T.-C., Liu, M.-Y., Zhu, J.-Y., Tao, A., Kautz, J., and Catanzaro, B · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
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Dong, H., Neekhara, P., Wu, C., and Guo, Y · 2017
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Preserving color in neural artistic style transfer
Gatys, L. A., Bethge, M., Hertzmann, A., and Shechtman, E
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Image style transfer using convolutional neural networks
Gatys, L. A., Ecker, A. S., and Bethge, M
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Zhu, J.-Y., Park, T., Isola, P., and Efros, A. A · 2017
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