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LiangbinXie avatar LiangbinXie commented on September 27, 2024

For Real-ESRGAN and LDL, we adopt the RealESRNet as the MSE model. Because these two GAN-based models are both fine-tuned from the Real-ESRNet model.

For SwinIR, we trained the MSE model based on the SwinIR setting ourselves, and then added the GAN loss to fine-tune based on this MSE model.

I will provide the models adopted in the paper.

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Explore008 avatar Explore008 commented on September 27, 2024

对于Real-ESRGAN和LDL,我们采用RealESRNet作为MSE模型。因为这两个基于 GAN 的模型都是从 Real-ESRNet 模型微调而来的。

对于 SwinIR,我们自己根据 SwinIR 设置训练了 MSE 模型,然后添加了 GAN 损失以基于此 MSE 模型进行微调。

我将提供本文中采用的模型。

Thank you very much! When load the checkpoints in mmseg0.29.0,I have got this problem"model.CLASSES = checkpoint['meta']['CLASSES']
KeyError: 'meta'".This checkpoints is true?
0ab16f5f78fb5006ced51a8a6b7cf00

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LiangbinXie avatar LiangbinXie commented on September 27, 2024

I just uploaded the checkpoints to Google Drive, you can get them from this link (https://drive.google.com/drive/folders/10vzKAJjHm5GEb0_LESnHYmuCnBwdoFpm). The corresponding information has also been updated on the project homepage.

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cncloudli avatar cncloudli commented on September 27, 2024

For Real-ESRGAN and LDL, we adopt the RealESRNet as the MSE model. Because these two GAN-based models are both fine-tuned from the Real-ESRNet model.

For SwinIR, we trained the MSE model based on the SwinIR setting ourselves, and then added the GAN loss to fine-tune based on this MSE model.

I will provide the models adopted in the paper.

有一点我不太理解,RealESRGAN的论文里写Real-ESRNet用的是L1 LOSS,为什么这里说他是MSE(L2 LOSS)的模型呢?谢谢!

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