AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
這是CVPR2018一篇關於文本到圖像合成的文章，paper鏈接https://arxiv.org/abs/1711.10485，code已經released出來了https://github.com/taoxugit/AttnGAN，作者的homepage https://sites.google.com/view/taoxu。 文章要做的事情（Text to Image Synthesis）：
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相關文章
- 1. 論文閱讀1《AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networ》
- 2. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 論文解讀
- 3. Generative Adversarial Text to Image Synthesis
- 4. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 5. StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
- 6. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 論文解讀
- 7. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
- 8. 【翻譯】Image-to-Image Translation with Conditional Adversarial Networks
- 9. Generative Adversarial Text to Image Synthesis 論文解讀
- 10. (Pixel2PixelGANs)Image-to-Image translation with conditional adversarial networks