文献阅读: ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
文章地址： https://arxiv.org/abs/1809.00219 作者的项目地址： https://github.com/xinntao/ESRGAN 1. 简单介绍 这是一篇ECCVW2018的文章，并获得了PIRM-SR(Third Region)的冠军，作者是在SRGAN的基础上做了三点改进： 改进了生成器网络，在生成器中使用一种不带BN的Residual-in-Residual
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相关文章
- 1. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks, ECCV2018
- 2. ESRGAN - Enhanced Super-Resolution Generative Adversarial Networks论文翻译——中英文对照
- 3. ESRGAN - Enhanced Super-Resolution Generative Adversarial Networks论文翻译——中文版
- 4. Generative Adversarial Networks: An Overview文献阅读笔记
- 5. ESRGAN论文阅读笔记
- 6. 【文献阅读】Perceptual Generative Adversarial Networks for Small Object Detection –CVPR-2017
- 7. 文献阅读报告 - Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks...
- 8. BEGAN: Boundary Equilibrium Generative Adversarial Networks阅读笔记
- 9. 论文阅读——《Generative Adversarial Nets》
- 10. [解读] Coupled Generative Adversarial Networks