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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| .. | ||
| dcn | ||
| __init__.py | ||
| arch_util.py | ||
| discriminator_vgg_arch.py | ||
| DUF_arch.py | ||
| EDVR_arch.py | ||
| HighToLowResNet.py | ||
| RRDBNet_arch.py | ||
| SRResNet_arch.py | ||
| TOF_arch.py | ||