EDVR KerasKeras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Stars: ✭ 35 (-14.63%)
Mutual labels: super-resolution, video-super-resolution
FISROfficial repository of FISR (AAAI 2020).
Stars: ✭ 72 (+75.61%)
Mutual labels: super-resolution, video-super-resolution
SinganOfficial pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Stars: ✭ 2,983 (+7175.61%)
Mutual labels: super-resolution, single-image-super-resolution
Waifu2x Extension GuiVideo, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.
Stars: ✭ 5,463 (+13224.39%)
Mutual labels: super-resolution, video-super-resolution
tensorflow-bicubic-downsampletf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.
Stars: ✭ 23 (-43.9%)
Mutual labels: super-resolution
MLSRSource code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
Stars: ✭ 59 (+43.9%)
Mutual labels: super-resolution
SRDenseNet-pytorchSRDenseNet-pytorch(ICCV_2017)
Stars: ✭ 113 (+175.61%)
Mutual labels: super-resolution
NRSRNeighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)
Stars: ✭ 13 (-68.29%)
Mutual labels: super-resolution
LFSSR-SAS-PyTorchRepository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018
Stars: ✭ 22 (-46.34%)
Mutual labels: super-resolution
tf-perceptual-eusrA TensorFlow-based image super-resolution model considering both quantitative and perceptual quality
Stars: ✭ 44 (+7.32%)
Mutual labels: super-resolution
WaifuLiteSuper Resolution for Anime image, lightweight implementation
Stars: ✭ 20 (-51.22%)
Mutual labels: super-resolution
ImSwitchImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.
Stars: ✭ 43 (+4.88%)
Mutual labels: super-resolution
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (-48.78%)
Mutual labels: super-resolution
sparse-deconv-pyOfficial Python implementation of the 'Sparse deconvolution'-v0.3.0
Stars: ✭ 18 (-56.1%)
Mutual labels: super-resolution
MSG-NetDepth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
Stars: ✭ 76 (+85.37%)
Mutual labels: super-resolution
EGVSREfficient & Generic Video Super-Resolution
Stars: ✭ 774 (+1787.8%)
Mutual labels: super-resolution
FBMulti-frame super-resolution via sub-pixel.
Stars: ✭ 55 (+34.15%)
Mutual labels: super-resolution
Single-Image-Example-Based-Super-ResolutionSingle image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.
Stars: ✭ 33 (-19.51%)
Mutual labels: super-resolution
DANThis is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
Stars: ✭ 196 (+378.05%)
Mutual labels: super-resolution