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A good image-to-image translation model should learn a mapping between different visual domains while satisfying the following properties: 1) diversity of generated images and 2) scalability over multiple domains.
Imagenet classification with deep convolutional neural networks
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Generative adversarial networks
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Conditional generative adversarial nets
M. Mirza and S. Osindero · 2014
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Adam: A method for stochastic optimization
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Layer normalization
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Identity mappings in deep residual networks
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Generative adversarial text to image synthesis
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee · 2016
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Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
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Instance normalization: The missing ingredient for fast stylization
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2016
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Improved training of wasserstein gans
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
M. Heusel, H. Ramsauer, T. Unterthiner, B. Nessler, and S. Hochreiter · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
X. Huang and S. Belongie · 2017
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Image-to-image translation with conditional adversarial nets
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Learning to discover cross-domain relations with generative adversarial networks
T. Kim, M. Cha, H. Kim, J. K. Lee, and J. Kim · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
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Unsupervised image-to-image translation networks
M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Conditional image synthesis with auxiliary classifier gans
A. Odena, C. Olah, and J. Shlens · 2017
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Automatic differentiation in pytorch
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Nsml: A machine learning platform that enables you to focus on your models
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Unpaired image-to-image translation using cycle-consistent adversarial networkss
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Toward multimodal image-to-image translation
Esrgan: Enhanced super-resolution generative adversarial networks
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The unreasonable effectiveness of deep features as a perceptual metric
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Large scale gan training for high fidelity natural image synthesis
A. Brock, J. Donahue, and K. Simonyan · 2019
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Image-to-image translation via group-wise deep whitening-and-coloring transformation
W. Cho, S. Choi, D. K. Park, I. Shin, and J. Choo · 2019
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Large scale adversarial representation learning
J. Donahue and K. Simonyan · 2019
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Tag2pix: Line art colorization using text tag with secat and changing loss
K. Hyunsu, J. Ho Young, P. Eunhyeok, and Y. Sungjoo · 2019
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J.-Y. Zhu, R. Zhang, D. Pathak, T. Darrell, A. A. Efros, O. Wang, and E. Shechtman · 2017
Cited alongside, same era.
Augmented cyclegan: Learning many-to-many mappings from unpaired data
A. Almahairi, S. Rajeshwar, A. Sordoni, P. Bachman, and A. Courville · 2018
Cited alongside, same era.
Combogan: Unrestrained scalability for image domain translation
A. Anoosheh, E. Agustsson, R. Timofte, and L. Van Gool · 2018
Cited alongside, same era.
Pairedcyclegan: Asymmetric style transfer for applying and removing makeup
H. Chang, J. Lu, F. Yu, and A. Finkelstein · 2018
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 · 2018
Cited alongside, same era.
Feature-wise transformations
V. Dumoulin, E. Perez, N. Schucher, F. Strub, H. d. Vries, A. Courville, and Y. Bengio · 2018
Cited alongside, same era.
Multimodal unsupervised image-to-image translation
X. Huang, M.-Y. Liu, S. Belongie, and J. Kautz · 2018
Cited alongside, same era.
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A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
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Few-shot unsupervised image-to-image translation
M.-Y. Liu, X. Huang, A. Mallya, T. Karras, T. Aila, J. Lehtinen, and J. Kautz · 2019
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High-fidelity image generation with fewer labels
M. Lucic, M. Tschannen, M. Ritter, X. Zhai, O. Bachem, and S. Gelly · 2019
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Exemplar guided unsupervised image-to-image translation with semantic consistency
L. Ma, X. Jia, S. Georgoulis, T. Tuytelaars, and L. Van Gool · 2019
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Mode seeking generative adversarial networks for diverse image synthesis
Q. Mao, H.-Y. Lee, H.-Y. Tseng, S. Ma, and M.-H. Yang · 2019
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Miso: Mutual information loss with stochastic style representations for multimodal image-to-image translation
S. Na, S. Yoo, and J. Choo · 2019
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Semantic image synthesis with spatially-adaptive normalization
T. Park, M.-Y. Liu, T.-C. Wang, and J.-Y. Zhu · 2019
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Adaptive wing loss for robust face alignment via heatmap regression
X. Wang, L. Bo, and L. Fuxin · 2019
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Diversity-sensitive conditional generative adversarial networks
D. Yang, S. Hong, Y. Jang, T. Zhao, and H. Lee · 2019
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The unusual effectiveness of averaging in gan training
Y. Yazıcı, C.-S. Foo, S. Winkler, K.-H. Yap, G. Piliouras, and V. Chandrasekhar · 2019
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Coloring with limited data: Few-shot colorization via memory augmented networks
S. Yoo, H. Bahng, S. Chung, J. Lee, J. Chang, and J. Choo · 2019
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Multi-mapping image-to-image translation via learning disentanglement
X. Yu, Y. Chen, T. Li, S. Liu, and G. Li · 2019
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