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GIMP-ML/docs/REFERENCES.md

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# 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] [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] [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>
[8] [Deep Image Matting](https://openaccess.thecvf.com/content_cvpr_2017/papers/Xu_Deep_Image_Matting_CVPR_2017_paper.pdf) <br>
[9] [AOD-Net: All-In-One Dehazing Network](https://openaccess.thecvf.com/content_ICCV_2017/papers/Li_AOD-Net_All-In-One_Dehazing_ICCV_2017_paper.pdf) <br>
[10] [When AWGN-based Denoiser Meets Real Noises](https://arxiv.org/pdf/1904.03485.pdf)<br>
[11] [EnlightenGAN: Deep Light Enhancement without Paired Supervision](https://arxiv.org/pdf/1906.06972.pdf)<br>
[12] [RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation](https://arxiv.org/pdf/2011.06294.pdf)<br>
[13] [Deep Two-Stage High-Resolution Image Inpainting](http://ceur-ws.org/Vol-2744/short18.pdf)<br>
# Code References
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/junyanz/interactive-deep-colorization <br>
[5] https://github.com/intel-isl/MiDaS <br>
[6] https://github.com/twtygqyy/pytorch-SRResNet <br>
[7] https://github.com/huochaitiantang/pytorch-deep-image-matting <br>
[8] https://github.com/MayankSingal/PyTorch-Image-Dehazing <br>
[9] https://github.com/yzhouas/PD-Denoising-pytorch <br>
[10] https://github.com/VITA-Group/EnlightenGAN <br>
[11] https://github.com/hzwer/arXiv2020-RIFE <br>
[12] https://github.com/a-mos/High_Resolution_Image_Inpainting <br>