Stochastic Human Motion Prediction

Description from the archive archive 2025-07-28.

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (9 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic
  5 Jul 2025 1 repository listed
  The STAB stores the action transition information.
• Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction
  16 Jul 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Expanding on SLD, we introduce a set of motion queries to enhance the diversity of predictions.
• Stochastic Multi-Person 3D Motion Forecasting
  8 Jun 2023 1 repository listed
  This paper aims to deal with the ignored real-world complexities in prior work on human motion forecasting, emphasizing the social properties of multi-person motion, the diversity of motion and social interactions, and…
• CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
  21 May 2023 1 repository listed
  Stochastic Human Motion Prediction (HMP) aims to predict multiple possible future human pose sequences from observed ones.
• Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
  9 Feb 2023 1 repository listed
  Predicting diverse human motions given a sequence of historical poses has received increasing attention.
• BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
  25 Nov 2022 1 repository listed
  To address these issues, we present BeLFusion, a model that, for the first time, leverages latent diffusion models in HMP to sample from a latent space where behavior is disentangled from pose and motion.
• Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
  31 May 2022 1 repository listed
  We introduce the task of action-driven stochastic human motion prediction, which aims to predict multiple plausible future motions given a sequence of action labels and a short motion history.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.