Deep Learning Based Data Compression - RMGS

Description

This project aims to develop efficient compression techniques based on deep learning, such that the redundancies within the data could be efficiently removed in a data-driven way. The advanced generative technologies are further studied to improve the quality of the decoded data. The decoding complexity is further optimized and evaluated in a series of platforms including thin clients.