taustudent

> @Suimingzhe > > 1. At first, simply just compare reconstructed images with the actual input visually. > If the reconstructed image show pretty much difference(It means that the pre-trained...

> hi @taustudent > > 1. You don't need to care about sampled images because the autoencoder doesn't map to certain gaussian distribution. > The autoencoder here isn't trained to...

> @taustudent There's no such guideline. I just referred to the config file that is close to my dataset. (resolution, etc.) you'll have to do some experiments changing some parameters...

@SantiUsma Thanks! can you explain what it's meaning in your code ` # default to score-sde preprocessing` in the getitem method? and what exactly I need to add in the...

> > @SantiUsma Thanks! can you explain what it's meaning in your code ` # default to score-sde preprocessing` in the getitem method? and what exactly I need to add...

> > > > @SantiUsma Thanks! can you explain what it's meaning in your code ` # default to score-sde preprocessing` in the getitem method? and what exactly I need...

@SantiUsma thanks a lot for your help! I succeeded to get good results when training the AE, but now I'm having troubles to match it the right config file of...

Thanks for your answer. I want to reproduce this flow as final project in my Medical Image Processing course at university, so just to be sure, after I finish to...

Thanks! And you train ShiftNet on the image space or k-space?

@TerryMelody Hi Did you find something?