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Videosuperresolution ⭐ 916

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Efficient & Generic Video Super-Resolution

Vsr Duf Reimplement ⭐ 90

It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.

Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Propagation" (https://arxiv.org/abs/1909.08080).

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