Droliven/MSRGCN
Official implementation of MSR-GCN (ICCV2021 paper)
This project helps researchers and developers working with human movement data by predicting future human poses. It takes a short sequence of past human joint positions (motion capture data) and outputs a prediction of how those joints will move in the immediate future. This tool is useful for anyone analyzing or synthesizing realistic human motion, such as in animation, robotics, or biomechanics research.
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Use this if you need to accurately predict the short-term future movements of a human body, given its recent past motion capture data.
Not ideal if you need to predict long-term or highly diverse future human motions, as a different approach is suggested for those scenarios.
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Python
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Last pushed
May 22, 2023
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