論文閱讀1《AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networ》
paper鏈接https://arxiv.org/abs/1711.10485， code鏈接https://github.com/taoxugit/AttnGAN， 作者的homepage https://sites.google.com/view/taoxu 本文給出的是CVPR 2018的文章《AttnGAN: Fine-Grained Text to Image Generation wi
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- 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 論文解讀
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- 4. 《Generative Adversarial Text to Image Synthesis》閱讀理解
- 5. Generative Adversarial Text to Image Synthesis
- 6. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 7. 論文閱讀筆記一【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 論文解讀
- 9. 《Generative Image Inpainting with Adversarial Edge Learning》論文閱讀之edge-connect
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相關文章
- 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 論文解讀
- 3. Generative Adversarial Text to Image Synthesis 論文解讀
- 4. 《Generative Adversarial Text to Image Synthesis》閱讀理解
- 5. Generative Adversarial Text to Image Synthesis
- 6. text to image（二）:《Generative Adversarial Text to Image Synthesis》
- 7. 論文閱讀筆記一【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 論文解讀
- 9. 《Generative Image Inpainting with Adversarial Edge Learning》論文閱讀之edge-connect
- 10. 論文閱讀——《Generative Adversarial Nets》