Multi-Person Pose forecasting

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

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.

• Learning Trajectory Dependencies for Human Motion Prediction
  15 Aug 2019 5 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  In this paper, we propose a simple feed-forward deep network for motion prediction, which takes into account both temporal smoothness and spatial dependencies among human body joints.
• Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
  9 Mar 2023 2 repositories listed Syntology ran 8 of 15 samples · 7 unverified · 15 pointer-only (licence)
  Specifically, we construct a Temporal Body Partition Module that transforms all the pose sequences into a Multi-Person Body-Part sequence to retain spatial and temporal information based on body semantics.
• Best Practices for 2-Body Pose Forecasting
  12 Apr 2023 1 repository listed Syntology ran 3 of 17 samples · 14 unverified
  The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames.
• SoMoFormer: Multi-Person Pose Forecasting with Transformers
  30 Aug 2022 1 repository listed
  Although there are several previous works targeting the problem of multi-person dynamic pose forecasting, they often model the entire pose sequence as time series (ignoring the underlying relationship between joints) or…
• Back to MLP: A Simple Baseline for Human Motion Prediction
  4 Jul 2022 1 repository listed Syntology ran 3 of 7 samples · 4 unverified
  This paper tackles the problem of human motion prediction, consisting in forecasting future body poses from historically observed sequences.
• Multi-Person 3D Motion Prediction with Multi-Range Transformers
  23 Nov 2021 1 repository listed
  Thus, instead of predicting each human pose trajectory in isolation, we introduce a Multi-Range Transformers model which contains of a local-range encoder for individual motion and a global-range encoder for social…
• Multi-Person Extreme Motion Prediction
  18 May 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In this paper, we explore this problem when dealing with humans performing collaborative tasks, we seek to predict the future motion of two interacted persons given two sequences of their past skeletons.

Syntology lines on 5 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.