论文阅读1《AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networ》
paper链接https://arxiv.org/abs/1711.10485， code链接https://github.com/taoxugit/AttnGAN， 作者的homepage https://sites.google.com/view/taoxu 本文给出的是CVPR 2018的文章《AttnGAN: Fine-Grained Text to Image Generation wi
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相关文章
- 1. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
- 2. AttnGAN: Fine-Grained Text to Image Generationwith Attentional Generative Adversarial Networks 论文解读
- 3. Generative Adversarial Text to Image Synthesis 论文解读
- 4. 《Generative Adversarial Text to Image Synthesis》阅读理解
- 5. Generative Adversarial Text to Image Synthesis
- 6. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 7. 论文阅读笔记一【StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Netwo】
- 8. DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 论文解读
- 9. 《Generative Image Inpainting with Adversarial Edge Learning》论文阅读之edge-connect
- 10. 论文阅读——《Generative Adversarial Nets》