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动漫图片超分辨率(SISR)——基于WDSR (2019-4-30)
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Anime-Super-Resolution
动漫图片超分辨率——基于WDSR (2019-4-30)
环境
tensorflow-gpu 1.12.0
Keras 2.2.4
实现动漫图片4倍的图片放大及超分辨率
utils.py -- 图像降采样与数据导入
model.py -- wdsr模型
optimizer.py -- 权重归一化Adam优化器
train.py -- 模型训练
predict.py -- 测试集预测
evaluate.py -- 在不同难度等级下测试网络表现
图像降采样
使用NEAREST, BICUBIC, BILINEAR, HAMMING, LANCZOS插值方法将图像缩减4~12倍
使用半径1~3的核进行高斯模糊
Demo(LR, SR)
难度测试
Easy(缩减倍率 4 ~ 6,模糊半径 1 ~ 1.5)
Normal(缩减倍率 6 ~ 8,模糊半径 1.5 ~ 2)
Hard(缩减倍率 8 ~ 10,模糊半径 2 ~ 2.5)
Lunatic(缩减倍率 10 ~ 12,模糊半径 2.5 ~ 3)
测试集表现
Open Source Agenda is not affiliated with "Anime Super Resolution" Project. README Source:
wmylxmj/Anime-Super-Resolution
Stars
139
Open Issues
8
Last Commit
3 years ago
Repository
wmylxmj/Anime-Super-Resolution
License
MIT
Tags
Anime
Cnn
Computer Vision
Deep Learning
Keras
Sisr
Super Resolution
Wdsr
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