blind-super-resolution
There are 0 repository under blind-super-resolution topic.
megvii-research / DCLS-SR
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
Language:Python 224JingyunLiang / FKP
Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
Language:Python 148Zj-BinXia / KDSR
This project is the official implementation of 'Knowledge Distillation based Degradation Estimation for Blind Super-Resolution', ICLR2023
Language:Python 138hellloxiaotian / ACNet
Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)
Language:Python 79kynthesis / StarSRGAN
Official PyTorch Implementation of "StarSRGAN: Improving Real-World Blind Super-Resolution" (WSCG 2023)
Language:Python 42Yuki-11 / CSBSR
Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (TIM) 2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].
Language:Python 34um-dsrg / RUMpy
Open source image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art deep learning models. Also acts as the companion code for the MDPI Sensors journal paper titled 'The Best of Both Worlds: A Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks'
Language:Python 29This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023
Language:Python 27geopi1 / Improved_USRNet
Blind Super Resolution based on USRNet and Kernel GAN
Language:Python 16Arcananana / DSSR
A pytorch implementation of Learning Detail-Structure Alternative Optimization for Blind Super-Resolution.
Language:Python 14JHLew / PerPix
Official implementation of "Pixel-level Kernel Estimation for Blind Super-Resolution", IEEE Access 2021.
Language:Python 3qbxlvnf11 / Iterative-Kernel-Correction
IKC: Blind Super-Resolution With Iterative Kernel Correction
Language:Python 1ohjunee / Deblurring
When photographing a light source with a smartphone camera, light smudging often occurs. Our model contributes to improving the image quality degraded by the spread of light around the light source.
Language:Python 0russel0719 / Iterative-Kernel-Correction
torch implementation of IKC
Language:Jupyter Notebook 0pytorch implementation of IKP
Language:Jupyter Notebook 0