Open Access
Issue
ITM Web Conf.
Volume 40, 2021
International Conference on Automation, Computing and Communication 2021 (ICACC-2021)
Article Number 03017
Number of page(s) 5
Section Computing
DOI https://doi.org/10.1051/itmconf/20214003017
Published online 09 August 2021
  1. Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao. StoryGAN: A Sequential Conditional GAN for Story Visualization. 2019 [Google Scholar]
  2. Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris Metaxas. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. 2018 [Google Scholar]
  3. Xu Ouyang, Xi Zhang, Di Ma, Gady Agam. Generating Image Sequence from Description with LSTM Conditional GAN. 2018 [Google Scholar]
  4. Elizabeth Clark, Yangfeng Ji, Noah A. Smith. Neural Text Generation in Stories Using Entity Representations as Context. 2018 [Google Scholar]
  5. Dipti Pawade, Avani Sakhapara, Mansi Jain, Neha Jain, Krushi Gada. Story Scrambler-Automatic Text Generation Using Word Level RNN-LSTM. 2018 [Google Scholar]
  6. K.-M. Kim, M.-O. Heo, S.-H. Choi, and A.-T. Zhang. Deepstory: Video story qa by deep embedded memory networks. 2017. [Google Scholar]
  7. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin. Attention Is All You Need. 2017 [Google Scholar]
  8. Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, Aniruddha Kembhavi. Imagine This! Scripts to Compositions to Videos. 2018 [Google Scholar]
  9. Van-Khanh Tran, Le-Minh Nguyen and Satoshi Tojo. Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation. 2017 [Google Scholar]
  10. Xu Tao, Pengchuan Zhang, Qiuyuan Huang, Zhang Han, and Xiaodong He. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks. 2017 [Google Scholar]
  11. Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, and Honglak Lee. Generative Adversarial Text to Image Synthesis. In International Conference on International Conference on Machine Learning. 2016 [Google Scholar]
  12. Zizhao Zhang, Yuanpu Xie, and Yang Lin. Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network. 2018 [Google Scholar]
  13. Fuwen Tan, Song Feng, and Vicente Ordonez. 2018. Text2Scene: Generating Abstract Scenes from Textual Descriptions. 2018 [Google Scholar]
  14. Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu. Progressive Generation of Long Text with Pretrained Language Models. 2021 [Google Scholar]
  15. Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, and Ruslan Salakhutdinov. Transformer-XL: Attentive language models beyond a fixed-length context. 2019 [Google Scholar]
  16. Angela Fan, Mike Lewis, and Yann Dauphin. Hierarchical neural story generation. 2018 [Google Scholar]
  17. Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao. MirrorGAN: Learning Text-to-image Generation by Redescription. 2019 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.