读论文 - Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping
昨天刚看了Cycle GAN，今天这篇CVPR2020跟Cycle GAN很类似，做的任务是基于非成对数据的肖像画生成，区别是采用了非对称的循环映射（参考Cycle GAN里的循环一致性 https://blog.csdn.net/weixin_42108775/article/details/108102599） 论文下载：Unpaired Portrait Drawing Generation
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相关文章
- 1. Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping论文阅读3
- 2. 论文阅读：Dehaze-GLCGAN: Unpaired Single Image Dehazing Via Adversarial Training
- 3. 论文阅读《Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks》
- 4. 论文解读：Cycle ISP Real Image Restoration via Improved Data Synthesis
- 5. Cycle-GAN论文阅读笔记
- 6. PCI Configuration Cycle Generation
- 7. 论文笔记：去雾、超分和 Makeup（Cycle GAN 相关 4 篇）
- 8. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
- 9. 论文阅读笔记《Attentive Weights Generation for Few Shot Learning via Information Maximization》
- 10. 【论文笔记】cycleGAN：《Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks》