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Thank you for your insightful work! However, some discrepancy between code implementation and paper description confuses me a lot.
In ./guided_diffusion/diffusion_llie.py#L269, it seems that you mix-up frequency value (which are complex numbers) directly, but in the paper Eq.(11), you mix-up only amplitude of low-/normal-light images.
It will be nice of you to clarify such important issue.
The text was updated successfully, but these errors were encountered:
Thank you for your interest! In fact, we only used the combined amplitude(L272), which is equivalent to Eq.(11) in the paper.
In my opinion, L.272 combines the amplitude of mix-up frequency component and phase of low-light image. In other words, in your paper, you mix-up amplitude of low-light image and x_0_t first, then combines with phase of low-light image. This two are different process.
To be more clear, let us denote the low-light image in frequency by $a+bi$, x_0_t (which is maintained by DDIM prediction in your paper) by $c+di$. The implementation in your code is:
first, mix-up frequency is constructed, noted by $a+c * \gamma + (b + d * \gamma)i$, then compute its amplitude, noted by $\sqrt{(a+c*\gamma)^2 + (b+d*\gamma)^2}$. But in your paper, from my perspective, amplitude is combined first, noted as $\sqrt{a^2+b^2}+\gamma * \sqrt{c^2+d^2}$, then back-project frequency to image domain.
I'm just confusing about this. Could you provide more information about that? Thank you so much!
Thank you for your insightful work! However, some discrepancy between code implementation and paper description confuses me a lot.
In ./guided_diffusion/diffusion_llie.py#L269, it seems that you mix-up frequency value (which are complex numbers) directly, but in the paper Eq.(11), you mix-up only amplitude of low-/normal-light images.
It will be nice of you to clarify such important issue.
The text was updated successfully, but these errors were encountered: