图像超分辨率SRGAN的Pytorch版本复现代码，注释详细，含训练曲线图绘制、最优PSNR的模型权重文件(x2、x4、x8)
配套文章：https://blog.csdn.net/qq_36584673/article/details/136861864
文件说明：
benchmark_results：保存不同倍数下测试集的测试结果
data：存放数据集的文件夹，包含训练集、测试集、自己的图像/视频
epochs：保存训练过程中每个epoch的模型文件
statistics：存放训练和测试的评估指标结果
training_results：存放每一轮验证集的超分结果对比，每张图像5行3列展示
data_utils.py：数据预处理和制作数据集
demo.py：任意图像展示GT、Bicubic、SRGAN可视化对比结果
draw_evaluation.py：绘制Epoch与Loss、PSNR、SSIM关系的曲线图
loss.py：损失函数
model.py：网络结构
test_benchmark.py：生成benchmark测试集结果
test_image.py：生成任意单张图像用SRGAN超分的结果
test_video.py：生成SRGAN视频超分的结果
train.py：训练SRGAN
使用方法见文章。
文件下载
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