Papers › BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis
Seong-Eun Hong, Soobin Lim, Juyeong Hwang, Minwook Chang, Hyeongyeop Kang
Generating natural and expressive human motions from textual descriptions is challenging due to the complexity of coordinating full-body dynamics and capturing nuanced motion patterns over extended sequences that accurately reflect the given text. To address this, we introduce BiPO, Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis, a novel model that enhances text-to-motion synthesis by integrating part-based generation with a bidirectional autoregressive architecture. This integration allows BiPO to consider both past and future contexts during generation while enhancing detailed control over individual body parts without requiring ground-truth motion length. To relax the interdependency among body parts caused by the integration, we devise the Partial Occlusion technique, which probabilistically occludes the certain motion part information during training. In our comprehensive experiments, BiPO achieves state-of-the-art performance on the HumanML3D dataset, outperforming recent methods such as ParCo, MoMask, and BAMM in terms of FID scores and overall motion quality. Notably, BiPO excels not only in the text-to-motion generation task but also in motion editing tasks that synthesize motion based on partially generated motion sequences and textual descriptions. These results reveal the BiPO's effectiveness in advancing text-to-motion synthesis and its potential for practical applications.
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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 | HumanML3D | BiPO | Diversity | 9.556 | #3 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | BiPO | FID | 0.030 | #3 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | BiPO | Multimodality | 1.374 | #3 of 37 | Archive leaderboard | report |
| Motion Synthesis | HumanML3D | BiPO | R Precision Top3 | 0.809 | #3 of 37 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | BiPO | Diversity | 10.833 | #4 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | BiPO | FID | 0.164 | #4 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | BiPO | Multimodality | 1.098 | #4 of 31 | Archive leaderboard | report |
| Motion Synthesis | KIT Motion-Language | BiPO | R Precision Top3 | 0.803 | #4 of 31 | 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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