I am comparing preset parameters between sae-df and saehd-df and I notice there is a difference in filter size.
Saahd has a dec_res_block and dec_output_kernel of both 1 and sea of 2 and 5.
Does this mean that smaller filters results in better output?
I'm assuming the assed -hd in saehd means higher definition.
No, decreased kernel size does not intrinsically mean better output, it just means it uses a larger kernel for convolutions.
Kernel size of 1 is a bit different too, in that it does not look at any neighbouring pixels, and tends to be used to reduce spatial data.
These are quite complicated concepts to get your around, and basically dictates (in fairly simple terms) how a layer gets sampled for passing on to the next layer. It's probably best to google around a bit about convolutional kernels to understand them better.
eg:
https://stats.stackexchange.com/questio ... -size-mean
and
https://stats.stackexchange.com/questio ... al-network