forked from ecker/DL-Art-School
- Add a network that accomodates this style of approximator while retaining structure - Migrate to SSIM approximation - Add a tool to visualize how these approximators are working - Fix some issues that came up while doign this work |
||
|---|---|---|
| .. | ||
| panet | ||
| __init__.py | ||
| arch_util.py | ||
| ChainedEmbeddingGen.py | ||
| discriminator_vgg_arch.py | ||
| DiscriminatorResnet_arch_passthrough.py | ||
| DiscriminatorResnet_arch.py | ||
| feature_arch.py | ||
| ProgressiveSrg_arch.py | ||
| pytorch_ssim.py | ||
| rcan.py | ||
| ResGen_arch.py | ||
| RRDBNet_arch.py | ||
| spinenet_arch.py | ||
| SPSR_arch.py | ||
| SPSR_util.py | ||
| srg2_classic.py | ||
| SRResNet_arch.py | ||
| SwitchedResidualGenerator_arch.py | ||
| teco_resgen.py | ||