DL-Art-School/codes
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
..
.idea
data Pass a corruption factor through the dataset into the upsampling network 2021-06-07 09:13:54 -06:00
models Pass a corruption factor through the dataset into the upsampling network 2021-06-07 09:13:54 -06:00
scripts CIFAR stuff 2021-06-05 14:16:02 -06:00
trainer Don't do wandb except on rank 0 2021-06-06 16:52:07 -06:00
utils Support gaussian diffusion models 2021-06-02 21:47:32 -06:00
multi_modal_train.py
process_video.py
requirements.txt Log eval to wandb 2021-06-04 23:23:20 -06:00
test_image_patch_classifier.py
test.py misc adjustments for stylegan 2021-04-21 18:14:17 -06:00
train.py Don't do wandb except on rank 0 2021-06-06 16:52:07 -06:00