Fast-SRGAN
Visit ToolFast-SRGAN is an Open Source Content & Design tool that upsamples low-resolution videos to high resolution. It uses a deep learning model to achieve real-time super-resolution at 30fps.
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Fast-SRGAN is an Open Source Content & Design tool that upsamples low-resolution videos to high resolution. It uses a deep learning model to achieve real-time super-resolution at 30fps.
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About
Fast-SRGAN is an open-source deep learning model designed for real-time super-resolution, enabling the upsampling of low-resolution videos to high resolution at 30 frames per second. Built on the SR-GAN architecture and utilizing pixel shuffle for speed, this tool is ideal for enhancing video quality efficiently. It includes a pre-trained generator model on the DIV2k dataset, featuring 8 residual blocks and 64 filters. Users can easily run inference on their own images or train the model with custom settings via a configurable YAML file and command-line parameters. The project provides speed benchmarks, demonstrating its capability to upsample to 720p at around 30fps on an M1 Pro GPU. It also offers clear instructions for installation, usage, and training, making it accessible for developers and researchers.
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Open Source
Free
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