55 Commits

Author	SHA1	Message	Date
James Betker	8ab595e427	Add FlatProcessorNet ... After doing some thinking and reading on the subject, it occurred to me that I was treating the generator like a discriminator by focusing the network complexity at the feature levels. It makes far more sense to process each conv level equally for the generator, hence the FlatProcessorNet in this commit. This network borrows some of the residual pass-through logic from RRDB which makes the gradient path exceptionally short for pretty much all model parameters and can be trained in O1 optimization mode without overflows again.	2020-04-28 11:49:21 -06:00
James Betker	d95808f4ef	Implement downsample GAN ... This bad boy is for a workflow where you train a model on disjoint image sets to downsample a "good" set of images like a "bad" set of images looks. You then use that downsampler to generate a training set of paired images for supersampling.	2020-04-24 00:00:46 -06:00
James Betker	af5dfaa90d	Change GT_size to target_size	2020-04-22 00:37:41 -06:00
James Betker	cc834bd5a3	Support >128px image squares	2020-04-21 16:32:59 -06:00
XintaoWang	037933ba66	mmsr	2019-08-23 21:42:47 +08:00