Papers › Single-Shot Motion Completion with Transformer
Single-Shot Motion Completion with Transformer
Yinglin Duan, Tianyang Shi, Zhengxia Zou, Yenan Lin, Zhehui Qian, Bohan Zhang, Yi Yuan
Motion completion is a challenging and long-discussed problem, which is of great significance in film and game applications. For different motion completion scenarios (in-betweening, in-filling, and blending), most previous methods deal with the completion problems with case-by-case designs. In this work, we propose a simple but effective method to solve multiple motion completion problems under a unified framework and achieves a new state of the art accuracy under multiple evaluation settings. Inspired by the recent great success of attention-based models, we consider the completion as a sequence to sequence prediction problem. Our method consists of two modules - a standard transformer encoder with self-attention that learns long-range dependencies of input motions, and a trainable mixture embedding module that models temporal information and discriminates key-frames. Our method can run in a non-autoregressive manner and predict multiple missing frames within a single forward propagation in real time. We finally show the effectiveness of our method in music-dance applications.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Motion Synthesis | LaFAN1 | SSMCT | L2P@15 | 0.56 | #2 of 4 | Archive leaderboard | report |
| Motion Synthesis | LaFAN1 | SSMCT | L2P@30 | 1.1 | #2 of 4 | Archive leaderboard | report |
| Motion Synthesis | LaFAN1 | SSMCT | L2P@5 | 0.22 | #2 of 4 | Archive leaderboard | report |
| Motion Synthesis | LaFAN1 | SSMCT | L2Q@15 | 0.36 | #2 of 4 | Archive leaderboard | report |
| Motion Synthesis | LaFAN1 | SSMCT | L2Q@30 | 0.61 | #2 of 4 | Archive leaderboard | report |
| Motion Synthesis | LaFAN1 | SSMCT | L2Q@5 | 0.14 | #2 of 4 | Archive leaderboard | report |
| Motion Synthesis | LaFAN1 | SSMCT | NPSS@15 | 0.0234 | #2 of 4 | Archive leaderboard | report |
| Motion Synthesis | LaFAN1 | SSMCT | NPSS@30 | 0.1222 | #2 of 4 | Archive leaderboard | report |
| Motion Synthesis | LaFAN1 | SSMCT | NPSS@5 | 0.0016 | #2 of 4 | 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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