Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer-Reference-Cited by-同舟云学术

Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Wu Fuxiang¹,Liu Liu²,Hao Fusheng¹,He Fengxiang³,Cheng Jun¹

Affiliation:

1. Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, CAS,China

2. The University of Sydney,Australia

3. JD.com,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879249.pdf?arnumber=9879249

Reference42 articles.

1. StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

2. Bridge-GAN: Interpretable Representation Learning for Text-to-Image Synthesis

3. Pixel recurrent neural networks;van oord;Proceedings of the International Conference on Machine Learning ICML'05,0

4. Neural discrete representation learning;van den oord;Proceedings of the International Conference on Neural Information Processing Systems NeurIPS,0

5. KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis

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