Datasets › Open-HypermotionX

Open-HypermotionX

31 Dec 2018 archive 2025-07-28

🏃‍♂️ 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

LICENSE-2.0

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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