zhang-guangyi/cdm-jscc
This is a pytorch implementation of diffusion models-based image transmission systems.
This project offers a PyTorch implementation for transmitting images efficiently over noisy communication channels. It takes standard image files as input and outputs reconstructed images with improved quality, especially in challenging signal environments. This is designed for researchers and engineers working on advanced image communication systems.
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Use this if you are a researcher or engineer developing and testing rate-adaptive image transmission systems that use diffusion models for better performance in noisy conditions.
Not ideal if you are looking for a plug-and-play image compression tool for general consumer use or a system that doesn't involve complex deep learning architectures.
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Language
Python
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Last pushed
Nov 09, 2024
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