deepsumDeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)
Stars: ✭ 39 (-89.37%)
SRGAN-PyTorchAn Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Stars: ✭ 52 (-85.83%)
TMNetThe official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".
Stars: ✭ 77 (-79.02%)
NRSRNeighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)
Stars: ✭ 13 (-96.46%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-76.02%)
EDVR KerasKeras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Stars: ✭ 35 (-90.46%)
SinganOfficial pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Stars: ✭ 2,983 (+712.81%)
EmiyaEngine只要蘊藏著想成為真物的意志,偽物就比真物還要來得真實。
Stars: ✭ 27 (-92.64%)
esrganEnhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
Stars: ✭ 48 (-86.92%)
DANThis is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
Stars: ✭ 196 (-46.59%)
SwinIRSwinIR: Image Restoration Using Swin Transformer (official repository)
Stars: ✭ 1,260 (+243.32%)
SMSR[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference
Stars: ✭ 205 (-44.14%)
Tdan Vsr Cvpr 2020TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020
Stars: ✭ 277 (-24.52%)
Super resolution SurveyA survey of recent application of deep learning on super-resolution tasks
Stars: ✭ 32 (-91.28%)
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Stars: ✭ 56 (-84.74%)
ECBSREdge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021
Stars: ✭ 216 (-41.14%)
ToflowTOFlow: Video Enhancement with Task-Oriented Flow
Stars: ✭ 314 (-14.44%)
SR FrameworkA generic framework which implements some famouts super-resolution models
Stars: ✭ 54 (-85.29%)
libsrcnnSuper-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.
Stars: ✭ 14 (-96.19%)
MirnetOfficial repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.
Stars: ✭ 247 (-32.7%)
picassoA collection of tools for painting super-resolution images
Stars: ✭ 77 (-79.02%)
SESRSESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
Stars: ✭ 26 (-92.92%)
PAM[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning
Stars: ✭ 62 (-83.11%)
LFSSR-SAS-PyTorchRepository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018
Stars: ✭ 22 (-94.01%)
traiNNertraiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
Stars: ✭ 130 (-64.58%)
srzooSRZoo: An integrated repository for super-resolution using deep learning
Stars: ✭ 135 (-63.22%)
SpsrPytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)
Stars: ✭ 280 (-23.71%)
Trident-Dehazing-NetworkNTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.
Stars: ✭ 42 (-88.56%)
RCAN-tfTensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Stars: ✭ 25 (-93.19%)
LightFieldReconstructionHigh-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
Stars: ✭ 50 (-86.38%)
Pytorch VdsrVDSR (CVPR2016) pytorch implementation
Stars: ✭ 313 (-14.71%)
CF-NetOfficial repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"
Stars: ✭ 55 (-85.01%)
RAMSOfficial TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".
Stars: ✭ 55 (-85.01%)
Super-Resolution-Meta-Attention-NetworksOpen source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.
Stars: ✭ 17 (-95.37%)
Caffe VdsrA Caffe-based implementation of very deep convolution network for image super-resolution
Stars: ✭ 273 (-25.61%)
Psychic-CCTVA video analysis tool built completely in python.
Stars: ✭ 21 (-94.28%)
Real-ESRGAN-colabA Real-ESRGAN model trained on a custom dataset
Stars: ✭ 18 (-95.1%)
PNG-UpscaleAI Super - Resolution
Stars: ✭ 116 (-68.39%)
DrnClosed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Stars: ✭ 327 (-10.9%)
tf-bsrn-srOfficial implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow
Stars: ✭ 28 (-92.37%)
tensorrt-examplesTensorRT Examples (TensorRT, Jetson Nano, Python, C++)
Stars: ✭ 31 (-91.55%)
TC-YoukuVSRE天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码,EDVR、WDSR、ESRGAN三个模型。
Stars: ✭ 41 (-88.83%)
Video2xA lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.
Stars: ✭ 3,760 (+924.52%)
FISROfficial repository of FISR (AAAI 2020).
Stars: ✭ 72 (-80.38%)
NanoJ-FluidicsManual, source-code and binaries for the NanoJ-Fluidics project
Stars: ✭ 47 (-87.19%)
sparse-deconv-pyOfficial Python implementation of the 'Sparse deconvolution'-v0.3.0
Stars: ✭ 18 (-95.1%)
SewarAll image quality metrics you need in one package.
Stars: ✭ 299 (-18.53%)
EGVSREfficient & Generic Video Super-Resolution
Stars: ✭ 774 (+110.9%)
srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 39 (-89.37%)
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 (-88.28%)
GSOCRepository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944
Stars: ✭ 61 (-83.38%)
MIRNet-KerasKeras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020
Stars: ✭ 21 (-94.28%)
SrmdLearning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
Stars: ✭ 333 (-9.26%)
Edsr TensorflowTensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
Stars: ✭ 314 (-14.44%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (-21.25%)
HCFlowOfficial PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
Stars: ✭ 140 (-61.85%)