Commit Graph

102 Commits

Author SHA1 Message Date
James Betker
aeaf185314 Add RCAN 2020-09-27 16:00:41 -06:00
James Betker
5a27187c59 More mods to accomodate new dataset 2020-09-25 22:45:57 -06:00
James Betker
ce4613ecb9 Finish up single_image_dataset work
Sweet!
2020-09-25 16:37:54 -06:00
James Betker
05963157c1 Several things
- Fixes to 'after' and 'before' defs for steps (turns out they werent working)
- Feature nets take in a list of layers to extract. Not fully implemented yet.
- Fixes bugs with RAGAN
- Allows real input into generator gan to not be detached by param
2020-09-23 11:56:36 -06:00
James Betker
419f77ec19 Some new backbones 2020-09-21 12:36:49 -06:00
James Betker
fe82785ba5 Add some new architectures to ssg 2020-09-19 21:47:10 -06:00
James Betker
0918430572 SSG network
This branches off of SPSR. It is identical but substantially reduced
in complexity. It's intended to be my long term working arch.
2020-09-15 20:59:24 -06:00
James Betker
6deab85b9b Add BackboneEncoderNoRef 2020-09-15 16:55:38 -06:00
James Betker
ccf8438001 SPSR5
This is SPSR4, but the multiplexers have access to the output of the transformations
for making their decision.
2020-09-13 20:10:24 -06:00
James Betker
4e44bca611 SPSR4
aka - return of the backbone! I'm tired of massively overparameterized generators
with pile-of-shit multiplexers. Let's give this another try..
2020-09-11 22:55:37 -06:00
James Betker
19896abaea Clean up old SwitchedSpsr arch
It didn't work anyways, so why not?
2020-09-11 16:09:28 -06:00
James Betker
313424d7b5 Add new referencing discriminator
Also extend the way losses work so that you can pass
parameters into the discriminator from the config file
2020-09-10 21:35:29 -06:00
James Betker
146ace0859 CSNLN changes (removed because it doesnt train well) 2020-09-08 08:04:16 -06:00
James Betker
a18ece62ee Add updated spsr net for test 2020-09-07 17:01:48 -06:00
James Betker
55475d2ac1 Clean up unused archs 2020-09-07 11:38:11 -06:00
James Betker
6657a406ac Mods needed to support training a corruptor again:
- Allow original SPSRNet to have a specifiable block increment
- Cleanup
- Bug fixes in code that hasnt been touched in awhile.
2020-09-04 15:33:39 -06:00
James Betker
0a9b85f239 Fix vgg_gn input_img_factor 2020-08-31 09:50:30 -06:00
James Betker
4b4d08bdec Enable testing in ExtensibleTrainer, fix it in SRGAN_model
Also compute fea loss for this.
2020-08-31 09:41:48 -06:00
James Betker
0e859a8082 4x spsr ref (not workin) 2020-08-29 09:27:18 -06:00
James Betker
434ed70a9a Wrap vgg disc 2020-08-25 18:14:45 -06:00
James Betker
3f60281da7 Print when wrapping 2020-08-25 18:08:46 -06:00
James Betker
bae18c05e6 wrap disc grad 2020-08-25 17:58:20 -06:00
James Betker
a65b07607c Reference network 2020-08-25 11:56:59 -06:00
James Betker
dffc15184d More ExtensibleTrainer work
It runs now, just need to debug it to reach performance parity with SRGAN. Sweet.
2020-08-23 17:22:45 -06:00
James Betker
afdd93fbe9 Grey feature 2020-08-22 13:41:38 -06:00
James Betker
e59e712e39 More ExtensibleTrainer work 2020-08-22 13:08:33 -06:00
James Betker
f40545f235 ExtensibleTrainer work 2020-08-22 08:24:34 -06:00
James Betker
9d77a4db2e Allow initial temperature to be specified to SPSR net for inference 2020-08-20 11:57:34 -06:00
James Betker
24bdcc1181 Let SwitchedSpsr transform count be specified 2020-08-18 09:10:25 -06:00
James Betker
2d205f52ac Unite spsr_arch switched gens
Found a pretty good basis model.
2020-08-12 17:04:45 -06:00
James Betker
3d0ece804b SPSR LR2 2020-08-12 08:45:49 -06:00
James Betker
59aba1daa7 LR switched SPSR arch
This variant doesn't do conv processing at HR, which should save
a ton of memory in inference. Lets see how it works.
2020-08-10 13:03:36 -06:00
James Betker
887806ffa0 Finish up spsr_switched 2020-08-07 21:03:48 -06:00
James Betker
1f21c02f8b Add cross-compare discriminator 2020-08-06 08:56:21 -06:00
James Betker
3ab39f0d22 Several new spsr nets 2020-08-05 10:01:24 -06:00
James Betker
0d070b47a7 Add simplified SPSR architecture
Basically just cleaning up the code, removing some bad conventions,
and reducing complexity somewhat so that I can play around with
this arch a bit more easily.
2020-08-03 10:25:37 -06:00
James Betker
328afde9c0 Integrate SPSR into SRGAN_model
SPSR_model really isn't that different from SRGAN_model. Rather than continuing to re-implement
everything I've done in SRGAN_model, port the new stuff from SPSR over.

This really demonstrates the need to refactor SRGAN_model a bit to make it cleaner. It is quite the
beast these days..
2020-08-02 12:55:08 -06:00
James Betker
eb11a08d1c Enable disjoint feature networks
This is done by pre-training a feature net that predicts the features
of HR images from LR images. Then use the original feature network
and this new one in tandem to work only on LR/Gen images.
2020-07-31 16:29:47 -06:00
James Betker
6e086d0c20 Fix fixed_disc 2020-07-31 15:07:10 -06:00
James Betker
d5fa059594 Add capability to have old discriminators serve as feature networks 2020-07-31 14:59:54 -06:00
James Betker
e37726f302 Add feature_model for training custom feature nets 2020-07-31 11:20:39 -06:00
James Betker
e6e91a1d75 Add SRG4
Back to the idea that maybe what we need is a hybrid
approach between pure switches and RDB.
2020-07-24 20:32:49 -06:00
James Betker
dbf6147504 Add switched discriminator
The logic is that the discriminator may be incapable of providing a truly
targeted loss for all image regions since it has to be too generic
(basically the same argument for the switched generator). So add some
switches in! See how it works!
2020-07-22 20:52:59 -06:00
James Betker
46aa776fbb Allow feature discriminator unet to only output closest layer to feature output 2020-07-19 19:05:08 -06:00
James Betker
8a9f215653 Huge set of mods to support progressive generator growth 2020-07-18 14:18:48 -06:00
James Betker
47a525241f Make attention norm optional 2020-07-18 07:24:02 -06:00
James Betker
8d061a2687 Add u-net discriminator with feature output 2020-07-16 10:10:09 -06:00
James Betker
1b1431133b Add DualOutputSRG
Also removes the old multi-return mechanism that Generators support.
Also fixes AttentionNorm.
2020-07-14 09:28:24 -06:00
James Betker
0b7193392f Implement unet disc
The latest discriminator architecture was already pretty much a unet. This
one makes that official and uses shared layers. It also upsamples one additional
time and throws out the lowest upsampling result.

The intent is to delete the old vgg pixdisc, but I'll keep it around for a bit since
I'm still trying out a few models with it.
2020-07-10 16:24:42 -06:00
James Betker
5f2c722a10 SRG2 revival
Big update to SRG2 architecture to pull in a lot of things that have been learned:
- Use group norm instead of batch norm
- Initialize the weights on the transformations low like is done in RRDB rather than using the scalar. Models live or die by their early stages, and this ones early stage is pretty weak
- Transform multiplexer to use u-net like architecture.
- Just use one set of configuration variables instead of a list - flat networks performed fine in this regard.
2020-07-09 17:34:51 -06:00