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Achieve 20x faster motion capture for arbitrary skeletons with a new end-to-end framework that cuts rotation error nearly in half.
By explicitly aligning the graph structures of predicted and actual time series correlations, GCGNet achieves superior forecasting accuracy in noisy, real-world datasets compared to methods that model temporal and channel dependencies separately.
