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Set of Machine Learning Python plugins for GIMP

Set of Machine Learning Python plugins for GIMP

GIMP-ML

Preprint: Link

Set of Machine Learning Python plugins for GIMP.

The plugins have been tested with GIMP 2.10 on the following machines:

[1] macOS Catalina 10.15.3

[2] ubuntu 18.04 LTS

Installation Steps

[1] Install GIMP.

[2] Clone this repository: git clone https://github.com/kritiksoman/GIMP-ML.git

[3] Open GIMP and go to Preferences -> Folders -> Plug-ins, add the folder gimp-plugins and close GIMP.

[4] Download weights.zip (1.22 GB) and save it in gimp-plugins folder.

[5] Open terminal and run :

bash moveWeights.sh


bash installGimpML-mac.sh

[6] Open GIMP.

Demo videos on YouTube













Paper References

[1] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (https://arxiv.org/abs/1609.04802)

[2] DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better (https://arxiv.org/abs/1908.03826)

[3] Digging into Self-Supervised Monocular Depth Prediction (https://arxiv.org/abs/1806.01260)

[4] BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation (https://arxiv.org/abs/1808.00897)

[5] MaskGAN: Towards Diverse and Interactive Facial Image Manipulation (https://arxiv.org/abs/1907.11922)

[6] Perceptual Losses for Real-Time Style Transfer and Super-Resolution (https://cs.stanford.edu/people/jcjohns/eccv16/)

[7] Rethinking Atrous Convolution for Semantic Image Segmentation (https://arxiv.org/abs/1706.05587)

Code References

The following have been ported :

[1] https://github.com/switchablenorms/CelebAMask-HQ

[2] https://github.com/TAMU-VITA/DeblurGANv2

[3] https://github.com/zllrunning/face-parsing.PyTorch

[4] https://github.com/nianticlabs/monodepth2

[5] https://github.com/richzhang/colorization

[6] https://github.com/twtygqyy/pytorch-SRResNet

GitHub

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