Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks笔记
ICCV2017论文“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks” 此文章的提出主要是为了解决一个问题—— image-to-image translation中一对一的训练数据较难获得。一般的训练，生成图像总是要与某个gound truth完全相等（pair），而这种gound t
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相关文章
- 1. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
- 2. 【论文笔记】cycleGAN：《Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks》
- 3. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks——CycleGAN学习笔记
- 4. 论文笔记《Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks》
- 5. 论文阅读《Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks》
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- 10. CycleGAN学习：Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, 2017.