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Recent advances in image generation gave rise to powerful tools for semantic image editing.
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P., et al.: Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing 13
2004
Earlier work this paper cites.
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N.D., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems. pp. 2672–2680 (2014)
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: The cityscapes dataset for semantic urban scene understanding. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)
2016
Earlier work this paper cites.
Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Proceedings of the European Conference on Computer Vision (ECCV) (2016)
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text-to-image synthesis. In: Proceedings of the International Conference on Machine Learning (ICML) (2016)
2016
Earlier work this paper cites.
Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., Chen, X., Chen, X.: Improved techniques for training gans. In: Lee, D.D., Sugiyama, M., Luxburg, U.V., Guyon, I., Garnett, R. (eds.) Advances in Neural Information Processing Systems. pp. 2234–2242 (2016)
2016
Earlier work this paper cites.
Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. In: Proceedings of the International Conference on Learning Representations (ICLR) (2016)
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
2017
Earlier work this paper cites.
Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence 40
2017
Earlier work this paper cites.
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: Gans trained by a two time-scale update rule converge to a local nash equilibrium. In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. (eds.) Advances in Neural Information Processing Systems. pp. 6626–6637 (2017)
2017
Earlier work this paper cites.
Iizuka, S., Simo-Serra, E., Ishikawa, H.: Globally and locally consistent image completion. ACM Transactions on Graphics (ToG) 36
2017
Earlier work this paper cites.
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Lim, J.H., Ye, J.C.: Geometric gan. arXiv preprint arXiv:1705.02894 (2017)
2017
Earlier work this paper cites.
Sangkloy, P., Lu, J., Fang, C., Yu, F., Hays, J.: Scribbler: Controlling deep image synthesis with sketch and color. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
2017
Earlier work this paper cites.
Tran, D., Ranganath, R., Blei, D.: Hierarchical implicit models and likelihood-free variational inference. In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. (eds.) Advances in Neural Information Processing Systems. pp. 5523–5533 (2017)
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Yu, F., Koltun, V., Funkhouser, T.: Dilated residual networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
2017
Cited alongside, same era.
Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., Metaxas, D.: Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks. In: Proceedings of the International Conference Computer Vision (ICCV) (2017)
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., Torralba, A.: Scene parsing through ade20k dataset. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
2017
Cited alongside, same era.
Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 5505–5514 (2018)
2018
Later among the works it cites.
2018
Later among the works it cites.
Ashual, O., Wolf, L.: Specifying object attributes and relations in interactive scene generation. In: Proceedings of the International Conference Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
Bau, D., Strobelt, H., Peebles, W., Wulff, J., Zhou, B., Zhu, J., Torralba, A.: Semantic photo manipulation with a generative image prior. ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH) 38
2019
Later among the works it cites.
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Frid-Adar, M., Diamant, I., Klang, E., Amitai, M., Goldberger, J., Greenspan, H.: Gan-based synthetic medical image augmentation for increased cnn performance in liver lesion classification. Neurocomputing 321
2018
Cited alongside, same era.
Hong, S., Yan, X., Huang, T.E., Lee, H.: Learning hierarchical semantic image manipulation through structured representations. In: Advances in Neural Information Processing Systems. pp. 2713–2723 (2018)
2018
Cited alongside, same era.
Johnson, J., Gupta, A., Fei-Fei, L.: Image generation from scene graphs. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
2018
Cited alongside, same era.
Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of GANs for improved quality, stability, and variation. In: Proceedings of the International Conference on Learning Representations (ICLR) (2018)
2018
Cited alongside, same era.
Lee, D., Liu, S., Gu, J., Liu, M.Y., Yang, M.H., Kautz, J.: Context-aware synthesis and placement of object instances. In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R. (eds.) Advances in Neural Information Processing Systems. pp. 10393–10403 (2018)
2018
Cited alongside, same era.
Liu, G., Reda, F.A., Shih, K.J., Wang, T.C., Tao, A., Catanzaro, B.: Image inpainting for irregular holes using partial convolutions. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 85–100 (2018)
2018
Cited alongside, same era.
Miyato, T., Kataoka, T., Koyama, M., Yoshida, Y.: Spectral normalization for generative adversarial networks. In: Proceedings of the International Conference on Learning Representations (ICLR) (2018)
2018
Cited alongside, same era.
Miyato, T., Koyama, M.: cGANs with projection discriminator. In: Proceedings of the International Conference on Learning Representations (ICLR) (2018)
2018
Cited alongside, same era.
Bau, D., Zhu, J.Y., Wulff, J., Peebles, W., Strobelt, H., Zhou, B., Torralba, A.: Seeing what a gan cannot generate. In: Proceedings of the International Conference Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
Brock, A., Donahue, J., Simonyan, K.: Large scale GAN training for high fidelity natural image synthesis. In: Proceedings of the International Conference on Learning Representations (ICLR) (2019)
2019
Later among the works it cites.
Cognex: Visionpro vidi: Deep learning-based software for industrial image analysis. https://www.cognex.com/products/machine-vision/vision-software/visionpro-vidi , accessed: 2019-03-05
2019
Later among the works it cites.
Jo, Y., Park, J.: Sc-fegan: Face editing generative adversarial network with user’s sketch and color. In: Proceedings of the International Conference Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.
Liu, X., Yin, G., Shao, J., Wang, X., Li, H.: Learning to predict layout-to-image conditional convolutions for semantic image synthesis. In: Advances in Neural Information Processing Systems (2019)
2019
Later among the works it cites.
Lugmayr, A., Danelljan, M., Timofte, R., Fritsche, M., Gu, S., Purohit, K., Kandula, P., Suin, M., Rajagopalan, A., Joon, N.H., et al.: Aim 2019 challenge on real-world image super-resolution: Methods and results. In: Proceedings of the International Conference Computer Vision (ICCV), Advances in Image Manipulation Workshop (2019)
2019
Later among the works it cites.
Mao, Q., Lee, H.Y., Tseng, H.Y., Ma, S., Yang, M.H.: Mode seeking generative adversarial networks for diverse image synthesis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1429–1437 (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.
Park, T., Liu, M.Y., Wang, T.C., Zhu, J.Y.: Semantic image synthesis with spatially-adaptive normalization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
2019
Later among the works it cites.
Romero, A., Arbeláez, P., Van Gool, L., Timofte, R.: Smit: Stochastic multi-label image-to-image translation. In: Proceedings of the International Conference Computer Vision (ICCV), Workshops (2019)
2019
Later among the works it cites.
Shaham, T.R., Dekel, T., Michaeli, T.: Singan: Learning a generative model from a single natural image. In: Proceedings of the International Conference Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
Shetty, R., Schiele, B., Fritz, M.: Not using the car to see the sidewalk: Quantifying and controlling the effects of context in classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE (2019)
2019
Later among the works it cites.
Wu, S., Lin, S., Wu, W., Azzam, M., Wong, H.S.: Semi-supervised pedestrian instance synthesis and detection with mutual reinforcement. In: Proceedings of the International Conference Computer Vision (ICCV) (2019)
2019
Later among the works it cites.
Photoshop: version 21.1.0. Adobe Inc., San Jose, California, U.S. (2020)
2020
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