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We propose an end-to-end network for image generation from given structured-text that consists of the visual-relation layout module and the pyramid of GANs, namely stacking-GANs.
Bleu: A method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: · 2002
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Lavie, A., Agarwal, A.: · 2005
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Rectified linear units improve restricted boltzmann machines
Nair, V., Hinton, G.E.: · 2010
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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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Auto-encoding variational bayes
Kingma, D.P., Welling, M.: · 2014
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Image retrieval using scene graphs
Johnson, J., Krishna, R., Stark, M., Li, J., Bernstein, M., Fei-Fei, L.: · 2015
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Convolutional lstm network: A machine learning approach for precipitation nowcasting
Shi, X., Chen, Z., Wang, H., Yeung, D.Y., Wong, W., Woo, W.: · 2015
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Spatial transformer networks
Jaderberg, M., Simonyan, K., Zisserman, A., Kavukcuoglu, K.: · 2015
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Cider: Consensus-based image description evaluation
Vedantam, R., Zitnick, C.L., Parikh, D.: · 2015
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R., Sun, J.: · 2015
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Generative adversarial text-to-image synthesis
Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: · 2016
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Learning deep representations of fine-grained visual descriptions
Reed, S., Akata, Z., Lee, H., Schiele, B.: · 2016
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Learning what and where to draw
Reed, S., Akata, Z., Mohan, S., Tenka, S., Schiele, B., Lee, H.: · 2016
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Improved techniques for training gans
Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., Chen, X., Chen, X.: · 2016
Cited alongside, same era.
Scene graph generation from objects, phrases and region captions
Li, Y., Ouyang, W., Zhou, B., Wang, K., Wang, X.: · 2017
Cited alongside, same era.
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., Metaxas, D.: · 2017
Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., He, X.: · 2018
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Inferring semantic layout for hierarchical text-to-image synthesis
Hong, S., Yang, D., Choi, J., Lee, H.: · 2018
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Coco-stuff: Thing and stuff classes in context
Caesar, H., Uijlings, J., Ferrari, V.: · 2018
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The contextual loss for image transformation with non-aligned data
Mechrez, R., Talmi, I., Zelnik-Manor, L.: · 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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Pastegan: A semi-parametric method to generate image from scene graph
Li, Y., Ma, T., Bai, Y., Duan, N., Wei, S., Wang, X.: · 2019
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Cited alongside, same era.
Semantic image synthesis via adversarial learning
Dong, H., Yu, S., Wu, C., Guo, Y.: · 2017
Cited alongside, same era.
Visual genome: Connecting language and vision using crowdsourced dense image annotations
Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.J., Shamma, D.A., Bernstein, M., Fei-Fei, L.: · 2017
Cited alongside, same era.
Photographic image synthesis with cascaded refinement networks
Chen, Q., Koltun, V.: · 2017
Cited alongside, same era.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: · 2017
Cited alongside, same era.
Image generation from scene graphs
Johnson, J., Gupta, A., Fei-Fei, L.: · 2018
Cited alongside, same era.
https://github.com/hanzhanggit/StackGAN-Pytorch
Cited in the paper.
Closest in time.
Specifying object attributes and relations in interactive scene generation
Ashual, O., Wolf, L.: · 2019
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Image generation from layout
Zhao, B., Meng, L., Yin, W., Sigal, L.: · 2019
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Image synthesis from reconfigurable layout and style
Wei, S., Tianfu, W.: · 2019
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Using scene graph context to improve image generation
Tripathi, S., Bhiwandiwalla, A., Bastidas, A., Tang, H.: · 2019
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