James Betker 46e9f62be0 Add unet with latent guide ... This is a diffusion network that uses both a LQ image and a reference sample HQ image that is compressed into a latent vector to perform upsampling The hope is that we can steer the upsampling network with sample images.		2021-06-26 11:02:58 -06:00
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.idea	IDEA update	2020-05-19 09:35:26 -06:00
data	Add unet with latent guide	2021-06-26 11:02:58 -06:00
models	Add unet with latent guide	2021-06-26 11:02:58 -06:00
scripts	Various mods to support better jpeg image filtering	2021-06-25 13:16:15 -06:00
trainer	Various mods to support better jpeg image filtering	2021-06-25 13:16:15 -06:00
utils	Add support for training an EMA network alongside the main networks	2021-06-12 21:01:41 -06:00
multi_modal_train.py	More adjustments to support distributed training with teco & on multi_modal_train	2020-10-27 20:58:03 -06:00
process_video.py	misc	2021-01-23 13:45:17 -07:00
requirements.txt	Log eval to wandb	2021-06-04 23:23:20 -06:00
test_image_patch_classifier.py	More refactoring	2020-12-18 09:18:34 -07:00
test.py	Add FID evaluator for diffusion models	2021-06-14 09:14:30 -06:00
train.py	Add unet with latent guide	2021-06-26 11:02:58 -06:00
use_discriminator_as_filter.py	Various mods to support better jpeg image filtering	2021-06-25 13:16:15 -06:00