LoSealL/VideoSuperResolution
Collection of deep learning models for video and image super-resolution, implemented in TensorFlow and PyTorch.

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This repository provides reimplementations of state-of-the-art super-resolution neural network architectures for both video and single-image upscaling. It includes classic models like SRCNN, VDSR, EDSR, and GAN-based approaches like SRGAN. The implementations are available in TensorFlow with some models also ported to PyTorch. Pretrained weights are provided for benchmarking and reproduction.