MirroGAN: Learning Text-to-image Generation by Redescription
MirroGAN: Learning Text-to-image Generation by Redescription 摘要 尽管 GAN 已经能够生成非常逼真的高分辨率图片了, 但是要确保生成的图片和文本语义的一致还是一个很有挑战性的问题. 为了解决这个问题, 作者提出了 MirroGAN (a novel global-local attentive and semantic-preserv
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相关文章
- 1. Feature Generation by CNN (FGCNN)
- 2. Deep Reinforcement Learning for Dialogue Generation
- 3. 5.Conditional Generation by RNN & Attention(李宏毅)
- 4. 李宏毅ML lecture-17-18 unsupervised Learning Generation
- 5. 论文阅读：Sequence Generation by Editing Prototype
- 6. Learning by doing
- 7. Adversarial Learning for Neural Dialogue Generation 代码分析
- 8. Image Cption：Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
- 9. Reinforcement Learning: Planning by DP
- 10. Assembly Language Learning (by Joshua)