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Hi, first, thanks much for sharing the training codes.
I found a few differences between your reproduction and the original paper. In the original paper, multi-resolution noise is adapted for a significant performance improvement. However, your coding uses torc.randn_like() to produce noise.
Is my understanding correct or not? Actually, I am new to the diffusion model. If yes, is there any next plan to implement the multi-resolution noise in your codes?
I'm looking forward to hearing back from you.
Best regards.
The text was updated successfully, but these errors were encountered:
Hi, first, thanks much for sharing the training codes.
I found a few differences between your reproduction and the original paper. In the original paper, multi-resolution noise is adapted for a significant performance improvement. However, your coding uses torc.randn_like() to produce noise.
Is my understanding correct or not? Actually, I am new to the diffusion model. If yes, is there any next plan to implement the multi-resolution noise in your codes?
I'm looking forward to hearing back from you.
Best regards.
The text was updated successfully, but these errors were encountered: