《Generative Adversarial Text to Image Synthesis》閱讀理解
1.簡介 從文本描述自動合成真實的圖像，也就是把人類所寫的一句描述性文本翻譯成一系列像素點。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」。下圖是一個從文本描述生成圖像的例子。
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- 4. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 論文解讀
- 5. 論文閱讀筆記一【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
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相關文章
- 1. Generative Adversarial Text to Image Synthesis 論文解讀
- 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 論文解讀
- 5. 論文閱讀筆記一【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. 論文閱讀——Towards Adversarial Retinal Image Synthesis
- 10. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 論文解讀