Generative Adversarial Text to Image Synthesis 论文解读

时间 2020-12-30

标签 Stack GAN Generative Adversarial Text to Imag 深度学习 GAN 栏目 HTML 繁體版

原文原文链接

链接: [link]https://arxiv.org/pdf/1605.05396.pdf Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran Bernt Schiele, Honglak Lee 这是一篇刊在 ICML 2016上的一篇文章，我觉得还是很好的，我把自己对它的理解写在这里，有不对的地方希望大家能够及时纠正，本人万

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1. text to image（二）:《Generative Adversarial Text to Image Synthesis》
2. 《Generative Adversarial Text to Image Synthesis》阅读理解
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. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 论文解读
7. StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
8. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
9. text to image（九）:《Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Ne 》
10. 论文阅读1《AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networ》
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1. text to image（二）:《Generative Adversarial Text to Image Synthesis》
2. 《Generative Adversarial Text to Image Synthesis》阅读理解
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. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 论文解读
7. StackGAN（2017）: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
8. CPGAN: Full-Spectrum Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis
9. text to image（九）:《Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Ne 》
10. 论文阅读1《AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networ》

>>更多相关文章<<