Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
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May 13, 2023 - Python
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blind-super-resolution
Here are 15 public repositories matching this topic...
Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
super-resolution
image-super-resolution
kernel-estimation
blind-super-resolution
cvpr2021
image-sr
blind-sr
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Sep 19, 2021 - Python
This project is the official implementation of 'Knowledge Distillation based Degradation Estimation for Blind Super-Resolution', ICLR2023
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Apr 15, 2024 - Python
Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)
deep-neural-networks
deep-learning
image-processing
cnn
pytorch
python2
deep-network
python27
super-resolution
pytorch-cnn
low-level-vision
cnn-pytorch
blind-super-resolution
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Jan 20, 2023 - Python
Official PyTorch Implementation of "StarSRGAN: Improving Real-World Blind Super-Resolution" (WSCG 2023)
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Oct 11, 2024 - Python
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].
computer-vision
deep-learning
instrumentation
ieee
segmentation
measurement
super-resolution
cssr
defect-detection
joint-learning
peer-reviewed
crack-segmentation
blind-super-resolution
csbsr
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May 14, 2024 - Python
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'
python
gui
framework
deep-learning
pytorch
convolutional-neural-networks
super-resolution
image-restoration
contrastive-learning
blind-super-resolution
meta-attention
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Oct 23, 2023 - Python
This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023
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Jun 9, 2023 - Python
Blind Super Resolution based on USRNet and Kernel GAN
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Oct 21, 2020 - Python
A pytorch implementation of Learning Detail-Structure Alternative Optimization for Blind Super-Resolution.
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Nov 20, 2022 - Python
Official implementation of "Pixel-level Kernel Estimation for Blind Super-Resolution", IEEE Access 2021.
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Nov 24, 2021 - Python
IKC: Blind Super-Resolution With Iterative Kernel Correction
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Mar 14, 2023 - Python
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.
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Aug 17, 2021 - Python
pytorch implementation of IKP
python
image-processing
pytorch
image-super-resolution
pytorch-implementation
blind-super-resolution
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Jun 28, 2023 - Jupyter Notebook
torch implementation of IKC
python
image-processing
pytorch
super-resolution
image-super-resolution
pytorch-implementation
blind-super-resolution
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Apr 21, 2023 - Jupyter Notebook
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