tanyayapang Goto Github PK
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tanyayapang's Projects
cnniqa
CVPR2014-Convolutional neural networks for no-reference image quality assessment
dbcnn-pytorch
An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
deepiqa
NR and FR IQA models based on Deep Convolutional Neural Networks
dvqa
Deep learning-based Video Quality Assessment
hello-world
just test
hiqa
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning
image-quality-assessment
A dataset containing 84 images with no reference is provided along with their subjective scores. Their objective scores are to be calculated, and then PLCC, SRCC, KRCC values are to be calculated. The current best PLCC value is around 0.78 and beating this is a challenging part of this project.
image-quality-assessment-python
Python code to compute features of classic Image Quality Assessment models
koniq
KonIQ-10k Deep Learning Models
koniq-pytorch
A Pytorch implementation of No-Reference Image Quality Assessment (NR-IQA) models trained on the KonIQ-10k dataset
super-resolution
A pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
tutorials
PyTorch tutorials.
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