forked from ecker/DL-Art-School
This bad boy is for a workflow where you train a model on disjoint image sets to downsample a "good" set of images like a "bad" set of images looks. You then use that downsampler to generate a training set of paired images for supersampling. |
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| .. | ||
| archs | ||
| __init__.py | ||
| base_model.py | ||
| loss.py | ||
| lr_scheduler.py | ||
| networks.py | ||
| SR_model.py | ||
| SRGAN_model.py | ||
| Video_base_model.py | ||