Keyword [Feature Generation]

Xian Y, Lorenz T, Schiele B, et al. Feature generating networks for zero-shot learning[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 5542-5551.

Bai S, Kolter J Z, Koltun V. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling[J]. arXiv preprint arXiv:1803.01271, 2018.

Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[C]//Advances in Neural Information Processing Systems. 2017: 6000-6010.

Cao Q, Liang X, Li B, et al. Visual question reasoning on general dependency tree[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 7249-7257.

Keyword [Word-CNN-RNN] [Character-CNN-RNN]

Reed S, Akata Z, Lee H, et al. Learning deep representations of fine-grained visual descriptions[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 49-58.

Keyword [Attribute to Face]

Di X, Patel V M. Face synthesis from visual attributes via sketch using conditional vaes and gans[J]. arXiv preprint arXiv:1801.00077, 2017.

Reed S E, Akata Z, Mohan S, et al. Learning what and where to draw[C]//Advances in Neural Information Processing Systems. 2016: 217-225.

Keyword [Location-Controllable]

Reed S E, Akata Z, Mohan S, et al. Learning what and where to draw[C]//Advances in Neural Information Processing Systems. 2016: 217-225.

Keyword [StackGAN]

Zhang H, Xu T, Li H, et al. Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks[C]//IEEE Int. Conf. Comput. Vision (ICCV). 2017: 5907-5915.

Reed S, Akata Z, Yan X, et al. Generative adversarial text to image synthesis[J]. arXiv preprint arXiv:1605.05396, 2016.