DL-Art-School/codes/options
James Betker 3cd85f8073 Implement ResGen arch
This is a simpler resnet-based generator which performs mutations
on an input interspersed with interpolate-upsampling. It is a two
part generator:
1) A component that "fixes" LQ images with a long string of resnet
    blocks. This component is intended to remove compression artifacts
    and other noise from a LQ image.
2) A component that can double the image size. The idea is that this
    component be trained so that it can work at most reasonable
    resolutions, such that it can be repeatedly applied to itself to
    perform multiple upsamples.

The motivation here is to simplify what is being done inside of RRDB.
I don't believe the complexity inside of that network is justified.
2020-05-05 11:59:46 -06:00
..
test Fix megabatch scaling, log low and med-res gen images 2020-05-05 08:34:57 -06:00
train Implement ResGen arch 2020-05-05 11:59:46 -06:00
__init__.py mmsr 2019-08-23 21:42:47 +08:00
options.py Support inference across batches, support inference on cpu, checkpoint 2020-05-04 08:48:25 -06:00