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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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MzsrMeta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
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Waifu2xPyTorch on Super Resolution
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MmeditingOpenMMLab Image and Video Editing Toolbox
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FrvsrFrame-Recurrent Video Super-Resolution (official repository)
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Pan[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.
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AdafmCVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation
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BasicsrOpen Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
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Waifu2x ExtensionImage, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]
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DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
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Deeply Recursive Cnn TfTest implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
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EdafaTest Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.
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Supper ResolutionSuper-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.
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