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• OnlineHMR is a fully online framework that satisfies four essential criteria of online processing: system-level causality, faithfulness, temporal consistency, and efficiency.method 95%
• OnlineHMR enables streaming inference via a causal key-value cache design and a curated sliding-window learning strategy.technical 90%
• OnlineHMR uses a human-centric incremental SLAM to provide online world-grounded alignment under physically plausible trajectory correction.technical 90%
• OnlineHMR achieves performance comparable to existing chunk-based approaches on the standard EMDB benchmark.result 85%
• OnlineHMR achieves performance comparable to existing chunk-based approaches on highly dynamic custom videos.result 85%
• OnlineHMR uniquely supports online processing for video-based human mesh recovery.technical 90%
• Most existing human mesh recovery methods are offline, relying on future frames or global optimization.limitation 95%
• The offline nature of most existing human mesh recovery methods limits their applicability in interactive feedback and perception-action loop scenarios such as AR/VR and telepresence.market 85%

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