- batch processing
- supports most image formats
- before/after view
- fully offline
(this is not a "super resolution AI upscaler", but a simple non-destructive way to clean up compressed/noisy images)
FBCNN (JPEG compression)
SCUNet (Grain/Noise)
info here (also in the apps FAQ)
you can also run other experimental models, more info here
- processed locally, minimum 4gb ram and 4 threads recommended
see the wiki for more information
for desktops, you can try chaiNNer, it has a bit of a learning curve and takes a bit to set up, but works pretty well and has some decent GPU acceleration.
DeJPEG is not affiliated or related with Topaz DEJPEG
or any other similarly named software/project
@adrianerrea for base application, FBCNN and SCUNet creators and all other model creators, this is only a wrapper for 1x
ONNX models
all models used are under their respective licenses
you are free to embed parts of this app in your own project as long as it remains free/non-paywalled and must abide to the GPL v3 license