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Papers › Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors

Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors

9 Feb 2023arXiv:2302.04860archive 2025-07-28

Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui

Predicting diverse human motions given a sequence of historical poses has received increasing attention. Despite rapid progress, existing work captures the multi-modal nature of human motions primarily through likelihood-based sampling, where the mode collapse has been widely observed. In this paper, we propose a simple yet effective approach that disentangles randomly sampled codes with a deterministic learnable component named anchors to promote sample precision and diversity. Anchors are further factorized into spatial anchors and temporal anchors, which provide attractively interpretable control over spatial-temporal disparity. In principle, our spatial-temporal anchor-based sampling (STARS) can be applied to different motion predictors. Here we propose an interaction-enhanced spatial-temporal graph convolutional network (IE-STGCN) that encodes prior knowledge of human motions (e.g., spatial locality), and incorporate the anchors into it. Extensive experiments demonstrate that our approach outperforms state of the art in both stochastic and deterministic prediction, suggesting it as a unified framework for modeling human motions. Our code and pretrained models are available at https://github.com/Sirui-Xu/STARS.

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Tasks

DiversityHuman Pose ForecastingHuman motion predictionStochastic Human Motion Predictionmotion prediction

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Human Pose Forecasting Human3.6M STARS ADE 358 #23 of 33 Archive leaderboard report
Human Pose Forecasting Human3.6M STARS APD 15884 #23 of 33 Archive leaderboard report
Human Pose Forecasting Human3.6M STARS FDE 445 #23 of 33 Archive leaderboard report
Human Pose Forecasting Human3.6M STARS MMADE 442 #23 of 33 Archive leaderboard report
Human Pose Forecasting Human3.6M STARS MMFDE 471 #23 of 33 Archive leaderboard report
Human Pose Forecasting HumanEva-I STARS ADE@2000ms 217 #3 of 11 Archive leaderboard report
Human Pose Forecasting HumanEva-I STARS APD@2000ms 6031 #3 of 11 Archive leaderboard report
Human Pose Forecasting HumanEva-I STARS FDE@2000ms 241 #3 of 11 Archive leaderboard report
Human Pose Forecasting HumanEva-I STARS MMADE@2000ms 328 #3 of 11 Archive leaderboard report
Human Pose Forecasting HumanEva-I STARS MMFDE@2000ms 321 #3 of 11 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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