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Unsupervised image-to-image translation is an important and challenging problem in computer vision.
Separating style and content
Tenenbaum, J.B., Freeman, W.T.: · 1997
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Image analogies
Hertzmann, A., Jacobs, C.E., Oliver, N., Curless, B., Salesin, D.H.: · 2001
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
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Learning a deep convolutional network for image super-resolution
Dong, C., Loy, C.C., He, K., Tang, X.: · 2014
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Transient attributes for high-level understanding and editing of outdoor scenes
Laffont, P.Y., Ren, Z., Tao, X., Qian, C., Hays, J.: · 2014
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
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Fine-grained visual comparisons with local learning
Yu, A., Grauman, K.: · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
Denton, E.L., Chintala, S., Fergus, R.: · 2015
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2015
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Holistically-nested edge detection
Xie, S., Tu, Z.: · 2015
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Makhzani, A., Shlens, J., Jaitly, N., Goodfellow, I., Frey, B.: · 2015
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Adam: A method for stochastic optimization
Kingma, D.P., Ba, J.: · 2015
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Colorful image colorization
Zhang, R., Isola, P., Efros, A.A.: · 2016
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Context encoders: Feature learning by inpainting
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: · 2016
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Image style transfer using convolutional neural networks
Gatys, L.A., Ecker, A.S., Bethge, M.: · 2016
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Coupled generative adversarial networks
Liu, M.Y., Tuzel, O.: · 2016
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Deep multi-scale video prediction beyond mean square error
Mathieu, M., Couprie, C., LeCun, Y.: · 2016
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Generative image modeling using style and structure adversarial networks
Wang, X., Gupta, A.: · 2016
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Improved techniques for training gans
Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., Chen, X.: · 2016
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Autoencoding beyond pixels using a learned similarity metric
Larsen, A.B.L., Sønderby, S.K., Larochelle, H., Winther, O.: · 2016
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Generating images with perceptual similarity metrics based on deep networks
Dosovitskiy, A., Brox, T.: · 2016
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Combining markov random fields and convolutional neural networks for image synthesis
Li, C., Wand, M.: · 2016
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Perceptual losses for real-time style transfer and super-resolution
Johnson, J., Alahi, A., Fei-Fei, L.: · 2016
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Infogan: Interpretable representation learning by information maximizing generative adversarial nets
Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: · 2016
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Domain separation networks
Bousmalis, K., Trigeorgis, G., Silberman, N., Krishnan, D., Erhan, D.: · 2016
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Disentangling factors of variation in deep representation using adversarial training
Mathieu, M.F., Zhao, J.J., Zhao, J., Ramesh, A., Sprechmann, P., LeCun, Y.: · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
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Revisiting batch normalization for practical domain adaptation
Li, Y., Wang, N., Shi, J., Liu, J., Hou, X.: · 2016
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Rethinking the inception architecture for computer vision
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: · 2016
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Generative visual manipulation on the natural image manifold
Zhu, J.Y., Krähenbühl, P., Shechtman, E., Efros, A.A.: · 2016
Cited alongside, same era.
The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
Ros, G., Sellart, L., Materzynska, J., Vazquez, D., Lopez, A.M.: · 2016
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: · 2016
Cited alongside, same era.
Fast patch-based style transfer of arbitrary style
Chen, T.Q., Schmidt, M.: · 2016
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: · 2017
Cited alongside, same era.
Multi-agent diverse generative adversarial networks
Ghosh, A., Kulharia, V., Namboodiri, V., Torr, P.H., Dokania, P.K.: · 2017
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Combogan: Unrestrained scalability for image domain translation
Anoosheh, A., Agustsson, E., Timofte, R., Van Gool, L.: · 2017
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Unsupervised multi-domain image translation with domain-specific encoders/decoders
Hui, L., Li, X., Chen, J., He, H., Yang, J., et al.: · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
Huang, X., Belongie, S.: · 2017
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Universal style transfer via feature transforms
Li, Y., Fang, C., Yang, J., Wang, Z., Lu, X., Yang, M.H.: · 2017
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Yi, Z., Zhang, H., Tan, P., Gong, M.: · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: · 2017
Cited alongside, same era.
Learning to discover cross-domain relations with generative adversarial networks
Kim, T., Cha, M., Kim, H., Lee, J., Kim, J.: · 2017
Cited alongside, same era.
Unsupervised cross-domain image generation
Taigman, Y., Polyak, A., Wolf, L.: · 2017
Cited alongside, same era.
Toward multimodal image-to-image translation
Zhu, J.Y., Zhang, R., Pathak, D., Darrell, T., Efros, A.A., Wang, O., Shechtman, E.: · 2017
Cited alongside, same era.
Photographic image synthesis with cascaded refinement networks
Chen, Q., Koltun, V.: · 2017
Cited alongside, same era.
Generative semantic manipulation with contrasting gan
Liang, X., Zhang, H., Xing, E.P.: · 2017
Cited alongside, same era.
beta-vae: Learning basic visual concepts with a constrained variational framework
Higgins, I., Matthey, L., Pal, A., Burgess, C., Glorot, X., Botvinick, M., Mohamed, S., Lerchner, A.: · 2017
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Decomposing motion and content for natural video sequence prediction
Villegas, R., Yang, J., Hong, S., Lin, X., Lee, H.: · 2017
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Unsupervised learning of disentangled representations from video
Denton, E.L., et al.: · 2017
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Style transfer from non-parallel text by cross-alignment
Shen, T., Lei, T., Barzilay, R., Jaakkola, T.: · 2017
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Adversarial feature learning
Donahue, J., Krähenbühl, P., Darrell, T.: · 2017
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Adversarially learned inference
Dumoulin, V., Belghazi, I., Poole, B., Lamb, A., Arjovsky, M., Mastropietro, O., Courville, A.: · 2017
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In: NIPS Autodiff Workshop. (2017)
Automatic differentiation in PyTorch · 2017
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Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis
Ulyanov, D., Vedaldi, A., Lempitsky, V.: · 2017
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A learned representation for artistic style
Dumoulin, V., Shlens, J., Kudlur, M.: · 2017
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Zm-net: Real-time zero-shot image manipulation network
Wang, H., Liang, X., Zhang, H., Yeung, D.Y., Xing, E.P.: · 2017
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Exploring the structure of a real-time, arbitrary neural artistic stylization network
Ghiasi, G., Lee, H., Kudlur, M., Dumoulin, V., Shlens, J.: · 2017
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Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Choi, Y., Choi, M., Kim, M., Ha, J.W., Kim, S., Choo, J.: · 2018
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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., Catanzaro, B.: · 2018
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The role of minimal complexity functions in unsupervised learning of semantic mappings
TAU, T.G., Wolf, L., TAU, S.B.: · 2018
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Identifying analogies across domains
Hoshen, Y., Wolf, L.: · 2018
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Progressive growing of gans for improved quality, stability, and variation
Karras, T., Aila, T., Laine, S., Lehtinen, J.: · 2018
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Wasserstein auto-encoders
Tolstikhin, I., Bousquet, O., Gelly, S., Schoelkopf, B.: · 2018
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Pixelnn: Example-based image synthesis
Bansal, A., Sheikh, Y., Ramanan, D.: · 2018
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Augmented cyclegan: Learning many-to-many mappings from unpaired data
Almahairi, A., Rajeswar, S., Sordoni, A., Bachman, P., Courville, A.: · 2018
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Diverse image-to-image translation via disentangled representation
Lee, H.Y., Tseng, H.Y., Huang, J.B., Singh, M.K., Yang, M.H.: · 2018
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A closed-form solution to photorealistic image stylization
Li, Y., Liu, M.Y., Li, X., Yang, M.H., Kautz, J.: · 2018
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Mocogan: Decomposing motion and content for video generation
Tulyakov, S., Liu, M.Y., Yang, X., Kautz, J.: · 2018
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Semantically decomposing the latent spaces of generative adversarial networks
Donahue, C., Balsubramani, A., McAuley, J., Lipton, Z.C.: · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: · 2018
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