Word-Level Fine-Grained Story Visualization

Zitnick, C.L., Parikh, D.: Bringing semantics into focus using visual abstraction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3009–3016 (2013)

2013

Earlier work this paper cites.

Zitnick, C.L., Parikh, D., Vanderwende, L.: Learning the visual interpretation of sentences. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 1681–1688 (2013)

2013

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: Advances in Neural Information Processing Systems. pp. 2672–2680 (2014)

2014

Earlier work this paper cites.

Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)

Original

2014

Earlier work this paper cites.

Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text to image synthesis. arXiv preprint arXiv:1605.05396 (2016)

Original

2016

Earlier work this paper cites.

Dong, H., Yu, S., Wu, C., Guo, Y.: Semantic image synthesis via adversarial learning. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 5706–5714 (2017)

2017

Earlier work this paper cites.

Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: GANs

2017

Earlier work this paper cites.

Kim, K.M., Heo, M.O., Choi, S.H., Zhang, B.T.: DeepStory: Video story QA by deep embedded memory networks. arXiv preprint arXiv:1707.00836 (2017)

Original

2017

Earlier work this paper cites.

Pan, Y., Qiu, Z., Yao, T., Li, H., Mei, T.: To create what you tell: Generating videos from captions. In: Proceedings of the 25th ACM International Conference on Multimedia. pp. 1789–1798 (2017)

2017

Earlier work this paper cites.

Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., Metaxas, D.N.: StackGAN

2017

Earlier work this paper cites.

Gupta, T., Schwenk, D., Farhadi, A., Hoiem, D., Kembhavi, A.: Imagine this! Scripts to compositions to videos. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 598–613 (2018)

2018

Earlier work this paper cites.

Li, Y., Min, M., Shen, D., Carlson, D., Carin, L.: Video generation from text. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 32 (2018)

2018

Cited alongside, same era.

Nam, S., Kim, Y., Kim, S.J.: Text-adaptive generative adversarial networks: Manipulating images with natural language. In: Advances in Neural Information Processing Systems. pp. 42–51 (2018)

2018

Cited alongside, same era.

Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., He, X.: AttnGAN

2018

Cited alongside, same era.

Zhang, H., Xu, T., Li, H., Zhang, S., Wang, X., Huang, X., Metaxas, D.N.: StackGAN

2018

Cited alongside, same era.

Balaji, Y., Min, M.R., Bai, B., Chellappa, R., Graf, H.P.: Conditional GAN with discriminative filter generation for text-to-video synthesis. In: Proceedings of IJCAI. vol. 1, p. 2 (2019)

2019

Li, B., Qi, X., Torr, P., Lukasiewicz, T.: Image-to-image translation with text guidance. arXiv preprint arXiv:2002.05235 (2020)

Original

2020

Later among the works it cites.

Li, B., Qi, X., Torr, P., Lukasiewicz, T.: Lightweight generative adversarial networks for text-guided image manipulation. Advances in Neural Information Processing Systems 33

2020

Later among the works it cites.

Mahon, L., Giunchiglia, E., Li, B., Lukasiewicz, T.: Knowledge graph extraction from videos. In: 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA). pp. 25–32. IEEE (2020)

2020

Later among the works it cites.

Song, Y.Z., Tam, Z.R., Chen, H.J., Lu, H.H., Shuai, H.H.: Character-preserving coherent story visualization. In: European Conference on Computer Vision. pp. 18–33. Springer (2020)

2020

Later among the works it cites.