关于PSNR和SSIM没有收敛到原论文中的性能 about swinir HOT 3 CLOSED

1. We compare the Y-channel PSNR for image SR, the pretrained model achieves the same results as in Table 1 of the paper.

2. For your own training, do you use the same batch size and other settings? It is also possible that different runs may generate slightly different results (<0.06dB).

3. Lastly, could use the mian_test_swinir.py to test your trained model on other datasets? What are their PSNR?

from swinir.

1. We compare the Y-channel PSNR for image SR, the pretrained model achieves the same results as in Table 1 of the paper.
2. For your own training, do you use the same batch size and other settings? It is also possible that different runs may generate slightly different results (<0.06dB).
3. Lastly, could use the mian_test_swinir.py to test your trained model on other datasets? What are their PSNR?

谢谢您的回复 ，

1. 在SwinIR 论文的Table 2 中与SwinIR对比的Classical image SR 方法的PSNR的指标使用的都是 Y-channel PSNR 吗？

2. 如何使用自己训练的SwinIR模型在mian_test_swinir.py中测试呢？

from swinir.

1, Yes. We pointed it out in experimental setup.

2, Just use your own trained model path

from swinir.