forked from mrq/DL-Art-School
812c684f7d
- Swap multiple blocks in the image instead of just one. The discriminator was clearly learning that most blocks have one region that needs to be fixed. - Relax block size constraints. This was in place to gaurantee that the discriminator signal was clean. Instead, just downsample the "loss image" with bilinear interpolation. The result is noisier, but this is actually probably healthy for the discriminator. |
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.. | ||
.idea | ||
data | ||
data_scripts | ||
metrics | ||
models | ||
options | ||
scripts | ||
temp | ||
utils | ||
process_video.py | ||
recover_tensorboard_log.py | ||
requirements.txt | ||
run_scripts.sh | ||
test.py | ||
train.py |