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
ea5f432f5a
Log total gen loss
2020-04-22 14:02:10 -06:00
James Betker
79aff886b5
Modifications that allow developer to explicitly specify a different image set for PIX and feature losses
2020-04-22 10:11:14 -06:00
James Betker
4d269fdac6
Support independent PIX dataroot
2020-04-22 00:40:13 -06:00
James Betker
05aafef938
Support variant input sizes and scales
2020-04-22 00:39:55 -06:00
James Betker
ebda70fcba
Fix AMP
2020-04-22 00:39:31 -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
James Betker
4f6d3f0dfb
Enable AMP optimizations & write sample train images to folder.
2020-04-21 16:28:06 -06:00
XintaoWang
0098663b6b
SRGAN model supprots dist training
2019-09-01 22:14:29 +08:00
XintaoWang
866a858e59
add deform_conv_cuda_kernel.cu
2019-08-27 17:49:12 +08:00
XintaoWang
037933ba66
mmsr
2019-08-23 21:42:47 +08:00
