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Proposed Approach: Our proposed approach, HDMovie2Net, uses a CNN to learn the mapping between low-quality and high-quality videos. The network consists of several convolutional and upsampling layers, which learn to extract features from low-quality videos and map them to high-quality videos. We train our network on a large dataset of paired low-quality and high-quality videos using a combination of mean squared error (MSE) and adversarial loss. hdmovie2net extra quality

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