SDGAN 《Semantics Disentangling for Text-to-Image Generation》探析
論文地址：https://arxiv.org/abs/1904.01480v1 收錄於：CVPR 2019 這篇文章屬於Text-to-Image一類，它所解決的主要任務是如何根據文本的描述生成相應的圖像，不僅要求生成的圖像要清晰真實，而且更要求其符合給定的文本描述。類似的GAN模型有StackGAN（《StackGAN:Text to Photo-realistic Image Synthesi
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相關文章
- 1. ACL2020 Semantics-aware BERT for Language Understanding
- 2. RL for Sentence Generation
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