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Interest in image-to-image translation has grown substantially in recent years with the success of unsupervised models based on the cycle-consistency assumption.
Lectures on the coupling method
T. Lindvall · 2002
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
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Efficient learning of domain-invariant image representations
J. Hoffman, E. Rodner, J. Donahue, T. Darrell, and K. Saenko · 2013
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Style transfer via image component analysis
W. Zhang, C. Cao, S. Chen, J. Liu, and X. Tang · 2013
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word2vec explained: deriving mikolov et al.’s negative-sampling word-embedding method
Y. Goldberg and O. Levy · 2014
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Semi-supervised domain adaptation with subspace learning for visual recognition
T. Yao, Y. Pan, C.-W. Ngo, H. Li, and T. Mei · 2015
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Tensorflow: a system for large-scale machine learning
M. Abadi, P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, et al · 2016
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Adversarially learned inference
V. Dumoulin, I. Belghazi, B. Poole, O. Mastropietro, A. Lamb, M. Arjovsky, and A. Courville · 2016
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Image style transfer using convolutional neural networks
L. A. Gatys, A. S. Ecker, and M. Bethge · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
Cited alongside, same era.
Coupled generative adversarial networks
M.-Y. Liu and O. Tuzel · 2016
Cited alongside, same era.
Siamese network features for image matching
I. Melekhov, J. Kannala, and E. Rahtu · 2016
Cited alongside, same era.
Unsupervised cross-domain image generation
Y. Taigman, A. Polyak, and L. Wolf · 2016
Cited alongside, same era.
Combogan: Unrestrained scalability for image domain translation
A. Anoosheh, E. Agustsson, R. Timofte, and L. Van Gool · 2017
Cited alongside, same era.
One-sided unsupervised domain mapping
S. Benaim and L. Wolf · 2017
Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Conditional cyclegan for attribute guided face image generation
Y. Lu, Y.-W. Tai, and C.-K. Tang · 2017
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Siamese network of deep fisher-vector descriptors for image retrieval
E.-J. Ong, S. Husain, and M. Bober · 2017
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Xgan: Unsupervised image-to-image translation for many-to-many mappings
A. Royer, K. Bousmalis, S. Gouws, F. Bertsch, I. Moressi, F. Cole, and K. Murphy · 2017
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From source to target and back: symmetric bi-directional adaptive gan
P. Russo, F. M. Carlucci, T. Tommasi, and B. Caputo · 2017
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Cited alongside, same era.
Unsupervised pixel-level domain adaptation with generative adversarial networks
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan · 2017
Cited alongside, same era.
Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Y. Choi, M. Choi, M. Kim, J.-W. Ha, S. Kim, and J. Choo · 2017
Cited alongside, same era.
Cycada: Cycle-consistent adversarial domain adaptation
J. Hoffman, E. Tzeng, T. Park, J.-Y. Zhu, P. Isola, K. Saenko, A. A. Efros, and T. Darrell · 2017
Cited alongside, same era.
Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. J. Belongie · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
Learning to discover cross-domain relations with generative adversarial networks
T. Kim, M. Cha, H. Kim, J. K. Lee, and J. Kim · 2017
Cited alongside, same era.
Later among the works it cites.
Dualgan: Unsupervised dual learning for image-to-image translation
Z. Yi, H. R. Zhang, P. Tan, and M. Gong · 2017
Later among the works it cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Augmented cyclegan: Learning many-to-many mappings from unpaired data
A. Almahairi, S. Rajeswar, A. Sordoni, P. Bachman, and A. Courville · 2018
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Magan: Aligning biological manifolds
M. Amodio and S. Krishnaswamy · 2018
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S. Barratt and R. Sharma · 2018
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http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
Large-scale celebfaces attributes (celeba) dataset · 2018
Later among the works it cites.
https://github.com/mseitzer/pytorch-fid
Fréchet inception distance (fid score) in pytorch · 2018
Later among the works it cites.
https://github.com/junyanz/iGAN/tree/master/train_dcgan
igan · 2019
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