Residual Dense Network for Image Super-Resolution
Residual Dense Network for Image Super-Resolution Yulun Zhang , Yapeng Tian , Yu Kong , Bineng Zhong , Yun Fu CVPR2018 摘要 论文认为之前的方法没有取得较好超分辨率结果的原因是因为它们没有利用低分辨率图像的层次信息。而论文提出了残差稀疏块可以解决这个问题。经过残差链接的卷积层可以
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相关文章
- 1. Paper | Dynamic Residual Dense Network for Image Denoising
- 2. Paper | Residual Dense Network for Image Super-Resolution
- 3. Paper notes-Residual Dense Network for Image Super-Resolution
- 4. 《Dense Residual Network for Retinal Vessel Segmentation》
- 5. Residual Attention Network for Image Classification
- 6. Residual attention network for image classification
- 7. Residual Attention Network for Image Classification, cvpr17
- 8. Residual Dense Network for Image Super-Resolution 论文解读
- 9. Residual Dense Network for Image Super-Resolution 代码详解
- 10. 【图像复原】RDN论文详解（Residual Dense Network for Image Restoration）