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RealGANModel模式各个损失的loss_weight设置 #34

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erxianzhe opened this issue Dec 26, 2023 · 3 comments
Open

RealGANModel模式各个损失的loss_weight设置 #34

erxianzhe opened this issue Dec 26, 2023 · 3 comments

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@erxianzhe
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在RealGANModel模式下,各个损失的loss_weight应该如何设置比较合理

@sunny2109
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在RealGANModel模式下,各个损失的loss_weight应该如何设置比较合理

不好意思,回复晚了。
训练的时候,我用到了这些loss: L1, FFT Loss, Perceptual Loss, LDL Loss, GAN Loss
Stage 1: L1 + 0.1*FFT Loss; Stage2: L1 + 0.1*GAN Loss + Perceptual Loss; Stage 3: L1 + 0.1*GAN Loss + Perceptual Loss + 0.5*LDL Loss

@harusaju
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harusaju commented Jan 11, 2024

In RealGANModel mode, how should the loss_weight of each loss be set more reasonably?

Hi, did you manage to train the model in RealGANModel mode?

@sunny2109
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In RealGANModel mode, how should the loss_weight of each loss be set more reasonably?

Hi, did you manage to train the model in RealGANModel mode?

Yep, the degradation settings are almost identical to RealESRGAN.

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