DL-Art-School/codes/models
James Betker 6c6e82406e Pass a corruption factor through the dataset into the upsampling network
The intuition is this will help guide the network to make better informed decisions
about how it performs upsampling based on how it perceives the underlying content.

(I'm giving up on letting networks detect their own quality - I'm not convinced it is
actually feasible)
2021-06-07 09:13:54 -06:00
..
byol Clean up byol a bit 2021-05-24 21:35:46 -06:00
classifiers Another fix to anorm 2021-06-06 15:09:49 -06:00
diffusion Pass a corruption factor through the dataset into the upsampling network 2021-06-07 09:13:54 -06:00
fixup_resnet
flownet2@db2b7899ea
glean
global_convs
optical_flow
pixel_level_contrastive_learning
segformer Clean up byol a bit 2021-05-24 21:35:46 -06:00
srflow
styled_sr
stylegan misc adjustments for stylegan 2021-04-21 18:14:17 -06:00
switched_conv Another fix to anorm 2021-06-06 15:09:49 -06:00
tecogan
transformers
vqvae
__init__.py
arch_util.py
discriminator_vgg_arch.py
feature_arch.py
lightweight_gan.py
ResGen_arch.py
RRDBNet_arch.py
spinenet_arch.py