《Generative Adversarial Text to Image Synthesis》阅读理解
1.简介 从文本描述自动合成真实的图像，也就是把人类所写的一句描述性文本翻译成一系列像素点。例如，“this small bird has a short, pointy orange beak and white belly” 或者 ”the petals of this flower are pink and the anther are yellow”。下图是一个从文本描述生成图像的例子。
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- 6. StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
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相关文章
- 1. Generative Adversarial Text to Image Synthesis 论文解读
- 2. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 3. Generative Adversarial Text to Image Synthesis
- 4. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 论文解读
- 5. 论文阅读笔记一【StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Netwo】
- 6. StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
- 7. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
- 8. text to image（九）:《Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Ne 》
- 9. 论文阅读——Towards Adversarial Retinal Image Synthesis
- 10. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 论文解读