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Let's assume data is normalised to have approx std=1. In this case, we're initialising x as a tensor that has some parts with std=1 and some parts with std=prior_std, which is certainly out of distribution for the score network. Wouldn't it make more sense to initialise it similarly to the body of inpaint_update_fn?
I have tried the modification and visually I can't tell if one is significantly better than the other, but I imagine a more thorough benchmarking could reveal differences in FID.
Original algortithm:
My modification:
The text was updated successfully, but these errors were encountered:
My question concerns this line:
Let's assume
data
is normalised to have approxstd=1
. In this case, we're initialisingx
as a tensor that has some parts withstd=1
and some parts withstd=prior_std
, which is certainly out of distribution for the score network. Wouldn't it make more sense to initialise it similarly to the body ofinpaint_update_fn
?I have tried the modification and visually I can't tell if one is significantly better than the other, but I imagine a more thorough benchmarking could reveal differences in FID.
Original algortithm:
![inpaint-original](https://user-images.githubusercontent.com/22394841/221606474-10871386-5193-44f0-a161-91e4d2fa0ecd.png)
My modification:
![modded](https://user-images.githubusercontent.com/22394841/221606514-be0b0e40-0365-42cd-b3fd-a65fac9cdb8c.png)
The text was updated successfully, but these errors were encountered: