mlsanityData to 7 Oct 2026

RAM: Recover Any 3D Human Motion in-the-Wild

arXiv 2603.19929 ↗First posted 20 Mar 2026cs.CV cs.AIcited by 11

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Abstract (arXiv)

RAM incorporates a motion-aware semantic tracker with adaptive Kalman filtering to achieve robust identity association under severe occlusions and dynamic interactions. A memory-augmented Temporal HMR module further enhances human motion reconstruction by injecting spatio-temporal priors for consistent and smooth motion estimation. Moreover, a lightweight Predictor module forecasts future poses to maintain reconstruction continuity, while a gated combiner adaptively fuses reconstructed and predicted features to ensure coherence and robustness. Experiments on in-the-wild multi-person benchmarks such as PoseTrack and 3DPW, demonstrate that RAM substantially outperforms previous state-of-the-art in both Zero-shot tracking stability and 3D accuracy, offering a generalizable paradigm for markerless 3D human motion capture in-the-wild.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 79 of its 101 references that are in the map. First posted on arXiv 20 Mar 2026.

Builds on

79 of 101 references.

References · 79

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38 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 11.

11 papers.