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amanchadha / iSeeBetter

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iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

cnn pytorch recurrent-neural-networks video-processing generative-adversarial-network gan rnn resnet convolutional-neural-networks gans unsupervised-learning ssim convolutional-neural-network super-resolution residual-networks psnr srgan video-super-resolution resnets self-supervised-learning
  • Updated Jun 21, 2022
  • C++

aravindiiitb / python-compare-images

Star 32

This repository is mainly about comparing two images. The technique used is SSIM. i.e. Structural Similarity Index Measure We use some of the inbuilt functions available in python's skimage library to measure the SSIM value. Along with SSIM we also measure the MSE ( Mean Square Error ) To know more about the SSIM technique Refer Here: https://en.wikipedia.org/wiki/Structural_similarity

python images image-processing scikit-image ssim
  • Updated Oct 16, 2017
  • Python

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