Datasets › Open-HypermotionX
Open-HypermotionX
🏃♂️ Open-HypermotionX Dataset
Open-Hypermotion is a large-scale, high-quality dataset designed for training and evaluating pose-guided human image animation models, with a special focus on complex, dynamic human motions (Hypermotion), such as flips, spins, and acrobatics.
🔍 Key Features
- Multimodal Annotations:
- 2D human pose sequences
- Reference images for appearance control
- Video clips of target motions
- Text descriptions of actions
- Motion Diversity:
- Covers both common activities and high-difficulty dynamic actions
- Task-Specific Subsets:
- Pose-guided animation
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Open-HypermotionX
1 variant name, as the archive lists them.
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