Commit Graph

113 Commits

Author SHA1 Message Date
James Betker
cffc596141 Integrate flownet2 into codebase, add teco visual debugs 2020-10-06 20:35:39 -06:00
James Betker
2875822024 SPSR9 arch
takes some of the stuff I learned with SGSR yesterday and applies it to spsr
2020-10-05 08:47:51 -06:00
James Betker
ffd069fd97 Lots of SSG work
- Checkpointed pretty much the entire model - enabling recurrent inputs
- Added two new models for test - adding depth (again) and removing SPSR (in lieu of the new losses)
2020-10-04 20:48:08 -06:00
James Betker
e3294939b0 Revert "SSG: offer option to use BN-based attention normalization"
Didn't work. Oh well.

This reverts commit 5cd2b37591.
2020-10-03 17:54:53 -06:00
James Betker
5cd2b37591 SSG: offer option to use BN-based attention normalization
Not sure how this is going to work, lets try it.
2020-10-03 16:16:19 -06:00
James Betker
35469f08e2 Spsr 8 2020-10-02 08:58:15 -06:00
James Betker
aa4fd89018 resnext with groupnorm 2020-10-01 15:49:28 -06:00
James Betker
8beaa47933 resnext discriminator 2020-10-01 11:48:14 -06:00
James Betker
55f2764fef Allow fixup50 to be used as a discriminator 2020-10-01 11:28:18 -06:00
James Betker
0b5a033503 spsr7 + cleanup
SPSR7 adds ref onto spsr6, makes more "common sense" mods.
2020-09-29 16:59:26 -06:00
James Betker
db52bec4ab spsr6
This is meant to be a variant of SPSR5 that harkens
back to the simpler earlier architectures that do not
have embeddings or ref_ inputs, but do have deep
multiplexers. It does, however, use some of the new
conjoin mechanisms.
2020-09-28 22:09:27 -06:00
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