Fetching the paper…
Reading the bibliography…
Graphic design is essential for visual communication with layouts being fundamental to composing attractive designs.
Goller, C., Kuchler, A.: Learning task-dependent distributed representations by backpropagation through structure. In: ICNN (1996)
1996
Earlier work this paper cites.
Gori, M., Monfardini, G., Scarselli, F.: A new model for learning in graph domains. In: IJCNN (2005)
2005
Earlier work this paper cites.
Scarselli, F., Gori, M., Tsoi, A.C., Hagenbuchner, M., Monfardini, G.: The graph neural network model. TNN (2008)
2008
Earlier work this paper cites.
Hurst, N., Li, W., Marriott, K.: Review of automatic document formatting. In: DocEng (2009)
2009
Earlier work this paper cites.
Damera-Venkata, N., Bento, J., O’Brien-Strain, E.: Probabilistic document model for automated document composition. In: DocEng (2011)
2011
Earlier work this paper cites.
Kumar, R., Talton, J.O., Ahmad, S., Klemmer, S.R.: Bricolage: example-based retargeting for web design. In: SIGCHI (2011)
2011
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: NeurIPS (2014)
2014
Earlier work this paper cites.
Kingma, D.P., Welling, M.: Auto-encoding variational bayes. In: ICLR (2014)
2014
Earlier work this paper cites.
O’Donovan, P., Agarwala, A., Hertzmann, A.: Learning layouts for single-pagegraphic designs. TVCG (2014)
2014
Earlier work this paper cites.
Rezende, D.J., Mohamed, S., Wierstra, D.: Stochastic backpropagation and approximate inference in deep generative models. In: ICML (2014)
2014
Earlier work this paper cites.
Duvenaud, D.K., Maclaurin, D., Iparraguirre, J., Bombarell, R., Hirzel, T., Aspuru-Guzik, A., Adams, R.P.: Convolutional networks on graphs for learning molecular fingerprints. In: NeurIPS (2015)
2015
Earlier work this paper cites.
Kingma, D., Ba, J.: Adam: A method for stochastic optimization. In: ICLR (2015)
2015
Earlier work this paper cites.
Jain, A., Zamir, A.R., Savarese, S., Saxena, A.: Structural-rnn: Deep learning on spatio-temporal graphs. In: CVPR (2016)
2016
Cited alongside, same era.
Pang, X., Cao, Y., Lau, R.W., Chan, A.B.: Directing user attention via visual flow on web designs. ACM TOG (Proc. SIGGRAPH) (2016)
2016
Cited alongside, same era.
Bylinskii, Z., Kim, N.W., O’Donovan, P., Alsheikh, S., Madan, S., Pfister, H., Durand, F., Russell, B., Hertzmann, A.: Learning visual importance for graphic designs and data visualizations. In: UIST (2017)
2017
Cited alongside, same era.
Deka, B., Huang, Z., Franzen, C., Hibschman, J., Afergan, D., Li, Y., Nichols, J., Kumar, R.: Rico: A mobile app dataset for building data-driven design applications. In: UIST (2017)
2017
Cited alongside, same era.
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: NeurIPS (2017)
Jin, W., Yang, K., Barzilay, R., Jaakkola, T.: Learning multimodal graph-to-graph translation for molecular optimization. In: ICLR (2019)
2019
Closest in time.
Jyothi, A.A., Durand, T., He, J., Sigal, L., Mori, G.: Layoutvae: Stochastic scene layout generation from a label set. In: ICCV (2019)
2019
Closest in time.
Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: CVPR (2019)
2019
Closest in time.
Li, J., Yang, J., Hertzmann, A., Zhang, J., Xu, T.: Layoutgan: Generating graphic layouts with wireframe discriminators. In: ICLR (2019)
2019
Closest in time.
2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: ICLR (2017)
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Gupta, T., Schwenk, D., Farhadi, A., Hoiem, D., Kembhavi, A.: Imagine this! scripts to compositions to videos. In: ECCV (2018)
2018
Cited alongside, same era.
Hong, S., Yang, D., Choi, J., Lee, H.: Inferring semantic layout for hierarchical text-to-image synthesis. In: CVPR (2018)
2018
Cited alongside, same era.
Johnson, J., Gupta, A., Fei-Fei, L.: Image generation from scene graphs. In: CVPR (2018)
2018
Cited alongside, same era.
Liu, T.F., Craft, M., Situ, J., Yumer, E., Mech, R., Kumar, R.: Learning design semantics for mobile apps. In: UIST (2018)
2018
Cited alongside, same era.
Yang, J., Lu, J., Lee, S., Batra, D., Parikh, D.: Graph r-cnn for scene graph generation. In: ECCV (2018)
2018
Cited alongside, same era.
2019
Closest in time.
Tabata, S., Yoshihara, H., Maeda, H., Yokoyama, K.: Automatic layout generation for graphical design magazines. In: SIGGRAPH (2019)
2019
Closest in time.
Tan, F., Feng, S., Ordonez, V.: Text2scene: Generating abstract scenes from textual descriptions. In: CVPR (2019)
2019
Closest in time.
Xinru Zheng, Xiaotian Qiao, Y.C., Lau, R.W.: Content-aware generative modeling of graphic design layouts. SIGGRAPH (2019)
2019
Closest in time.
Cheng, Y.C., Lee, H.Y., Sun, M., Yang, M.H.: Controllable image synthesis via segvae. In: ECCV (2020)
2020
Closest in time.
Tseng, H.Y., Lee, H.Y., Jiang, L., Yang, W., Yang, M.H.: Retrievegan: Image synthesis via differentiable patch retrieval. In: ECCV (2020)
2020
Closest in time.