Magpie将任何窗口放大至全屏
Stars: ✭ 4,478 (+34346.15%)
Mutual labels: 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 (+76.92%)
Mutual labels: super-resolution
LFSSR-SAS-PyTorchRepository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018
Stars: ✭ 22 (+69.23%)
Mutual labels: super-resolution
ESPCN-PyTorchA PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.
Stars: ✭ 33 (+153.85%)
Mutual labels: super-resolution
MLSRSource code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"
Stars: ✭ 59 (+353.85%)
Mutual labels: super-resolution
SRCNN-PyTorchPytorch framework can easily implement srcnn algorithm with excellent performance
Stars: ✭ 48 (+269.23%)
Mutual labels: super-resolution
picassoA collection of tools for painting super-resolution images
Stars: ✭ 77 (+492.31%)
Mutual labels: super-resolution
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (+61.54%)
Mutual labels: super-resolution
tf-perceptual-eusrA TensorFlow-based image super-resolution model considering both quantitative and perceptual quality
Stars: ✭ 44 (+238.46%)
Mutual labels: super-resolution
CSSRCrack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
Stars: ✭ 50 (+284.62%)
Mutual labels: super-resolution
MSG-NetDepth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
Stars: ✭ 76 (+484.62%)
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 (+153.85%)
Mutual labels: super-resolution
Jalali-Lab-Implementation-of-RAISRImplementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to …
Stars: ✭ 118 (+807.69%)
Mutual labels: super-resolution
DANThis is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
Stars: ✭ 196 (+1407.69%)
Mutual labels: super-resolution
TEGANGenerative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
Stars: ✭ 60 (+361.54%)
Mutual labels: super-resolution
WaifuLiteSuper Resolution for Anime image, lightweight implementation
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Mutual labels: super-resolution
EGVSREfficient & Generic Video Super-Resolution
Stars: ✭ 774 (+5853.85%)
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 (+230.77%)
Mutual labels: super-resolution
FBMulti-frame super-resolution via sub-pixel.
Stars: ✭ 55 (+323.08%)
Mutual labels: super-resolution
