Commit Graph

28 Commits

Author SHA1 Message Date
James Betker
c8ab89d243 Add model swapout
Model swapout is a feature where, at specified intervals,
a random D and G model will be swapped in place for the
one being trained. After a short period of time, this model
is swapped back out. This is intended to increase training
diversity.
2020-05-13 16:53:38 -06:00
James Betker
c336d32fd3 Config updates 2020-05-13 15:27:49 -06:00
James Betker
5bcf187fb6 Disable LMDB support
It doesn't play nice with multiple dataroots and I don't
really see any need to continue support since I'm not
testing it.
2020-05-13 15:27:33 -06:00
James Betker
037a5a3cdb Config updates 2020-05-13 09:20:28 -06:00
James Betker
c540244789 Config file update 2020-05-12 10:07:58 -06:00
James Betker
602f86bfa4 Random config changes 2020-05-06 17:25:48 -06:00
James Betker
3cd85f8073 Implement ResGen arch
This is a simpler resnet-based generator which performs mutations
on an input interspersed with interpolate-upsampling. It is a two
part generator:
1) A component that "fixes" LQ images with a long string of resnet
    blocks. This component is intended to remove compression artifacts
    and other noise from a LQ image.
2) A component that can double the image size. The idea is that this
    component be trained so that it can work at most reasonable
    resolutions, such that it can be repeatedly applied to itself to
    perform multiple upsamples.

The motivation here is to simplify what is being done inside of RRDB.
I don't believe the complexity inside of that network is justified.
2020-05-05 11:59:46 -06:00
James Betker
9f4581aacb Fix megabatch scaling, log low and med-res gen images 2020-05-05 08:34:57 -06:00
James Betker
3b4e54c4c5 Add support for passthrough disc/gen
Add RRDBNetXL, which performs processing at multiple image sizes.
Add DiscResnet_passthrough, which allows passthrough of image at different sizes for discrimination.
Adjust the rest of the repo to allow generators that return more than just a single image.
2020-05-04 14:01:43 -06:00
James Betker
44b89330c2 Support inference across batches, support inference on cpu, checkpoint
This is a checkpoint of a set of long tests with reduced-complexity networks. Some takeaways:
1) A full GAN using the resnet discriminator does appear to converge, but the quality is capped.
2) Likewise, a combination GAN/feature loss does not converge. The feature loss is optimized but
    the model appears unable to fight the discriminator, so the G-loss steadily increases.

Going forwards, I want to try some bigger models. In particular, I want to change the generator
to increase complexity and capacity. I also want to add skip connections between the
disc and generator.
2020-05-04 08:48:25 -06:00
James Betker
9c7debe75c Add colab option 2020-05-02 17:47:25 -06:00
James Betker
8341bf7646 Enable megabatching 2020-05-02 17:46:59 -06:00
James Betker
9e1acfe396 Fixup upconv for the next attempt! 2020-05-01 19:56:14 -06:00
James Betker
7eaabce48d Full resnet corrupt, no BN
And it works! Thanks fixup..
2020-04-30 19:17:30 -06:00
James Betker
66e91a3d9e Revert "Enable skip-through connections from disc to gen"
This reverts commit b7857f35c3.
2020-04-30 11:45:07 -06:00
James Betker
b7857f35c3 Enable skip-through connections from disc to gen 2020-04-30 11:30:11 -06:00
James Betker
3781ea725c Add Resnet Discriminator with BN 2020-04-29 20:51:57 -06:00
James Betker
5b8a77f02c Discriminator part 1
New discriminator. Includes spectral norming.
2020-04-28 23:00:29 -06:00
James Betker
2c145c39b6 Misc changes 2020-04-28 11:50:16 -06:00
James Betker
02ff4a57fd Enable HighToLowResNet to do a 1:1 transform 2020-04-25 21:36:32 -06:00
James Betker
35bd1ecae4 Config changes for discriminator advantage run
Still going from high->low, discriminator discerns on low. Next up disc works on high.
2020-04-25 11:24:28 -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
8ead9ae183 Lots more config files 2020-04-23 23:58:27 -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
2538ca9f33 Add my own configs 2020-04-22 00:37:54 -06:00
James Betker
af5dfaa90d Change GT_size to target_size 2020-04-22 00:37:41 -06:00
XintaoWang
a25ee9464d test w/o GT 2019-09-01 22:20:10 +08:00
XintaoWang
037933ba66 mmsr 2019-08-23 21:42:47 +08:00