Semantics Disentangling for Text-To-Image Generation-Reference-Cited by-同舟云学术

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Semantics Disentangling for Text-To-Image Generation

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Yin Guojun,Liu Bin,Sheng Lu,Yu Nenghai,Wang Xiaogang,Shao Jing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8938205/8953184/08953563.pdf?arnumber=8953563

Cited by 143 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Language-vision matching for text-to-image synthesis with context-aware GAN;Expert Systems with Applications;2024-12

2. Advancements in adversarial generative text-to-image models: a review;The Imaging Science Journal;2024-09-04

3. ETBHD‐HMF: A Hierarchical Multimodal Fusion Architecture for Enhanced Text‐Based Hair Design;Computer Graphics Forum;2024-09-03

4. MatchXML: An Efficient Text-Label Matching Framework for Extreme Multi-Label Text Classification;IEEE Transactions on Knowledge and Data Engineering;2024-09

5. M-GAN: multiattribute learning and multimodal feature fusion-based generative adversarial network for text-to-image synthesis;The Visual Computer;2024-08-05

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