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@ -38,10 +38,10 @@ The plugins have been tested with GIMP 2.10 on the following machines: <br>
# Paper References
[1] Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (https://arxiv.org/abs/1609.04802) <br>
[2] DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better (https://arxiv.org/abs/1908.03826) <br>
[3] Digging into Self-Supervised Monocular Depth Prediction (https://arxiv.org/abs/1806.01260) <br>
[3] Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer (https://arxiv.org/abs/1907.01341v2) <br>
[4] BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation (https://arxiv.org/abs/1808.00897) <br>
[5] MaskGAN: Towards Diverse and Interactive Facial Image Manipulation (https://arxiv.org/abs/1907.11922) <br>
[6] Perceptual Losses for Real-Time Style Transfer and Super-Resolution (https://cs.stanford.edu/people/jcjohns/eccv16/) <br>
[6] Real-Time User-Guided Image Colorization with Learned Deep Priors (https://arxiv.org/abs/1705.02999) <br>
[7] Rethinking Atrous Convolution for Semantic Image Segmentation (https://arxiv.org/abs/1706.05587) <br>
# Code References
@ -49,8 +49,8 @@ The following have been ported : <br>
[1] https://github.com/switchablenorms/CelebAMask-HQ <br>
[2] https://github.com/TAMU-VITA/DeblurGANv2 <br>
[3] https://github.com/zllrunning/face-parsing.PyTorch <br>
[4] https://github.com/nianticlabs/monodepth2 <br>
[5] https://github.com/zeruniverse/neural-colorization <br>
[4] https://github.com/junyanz/interactive-deep-colorization <br>
[5] https://github.com/intel-isl/MiDaS <br>
[6] https://github.com/twtygqyy/pytorch-SRResNet
# Common Issues

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