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ubisoft/ubisoft-laforge-animation-dataset resource

Ubisoft La Forge Animation Dataset observed · 2026-08-28

github.com/ubisoft/ubisoft-laforge-animation-dataset · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2332
  • days_rel: n/a
  • days_push: 1453
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1568 stars · 327 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The Ubisoft La Forge Animation Dataset (LAFAN1) is a motion capture dataset of 5 subjects, 77 sequences, and ~4.6 hours of character animation data in BVH format, released alongside code for the SIGGRAPH 2020 'Robust Motion In-betweening' paper. It includes benchmarking code for evaluating motion in-betweening models and is licensed under CC BY-NC-ND 4.0.

Use cases

  • train deep learning models for character motion in-betweening
  • benchmark motion transition generation algorithms
  • research data-driven character animation and motion matching
  • train physics-based character controllers from mocap data
  • denoise or retarget optical motion capture data
  • study locomotion and dance motion sequences for animation research

When to choose

  • you need a large, high-quality mocap dataset for character animation research
  • you want to reproduce or compare against published motion in-betweening results
  • you need BVH-format motion data for motion matching or learned motion synthesis
  • you are doing academic research on data-driven character animation

When to avoid

  • you need a permissively licensed dataset for commercial products (CC BY-NC-ND forbids commercial use and derivatives)
  • you need real-time animation tooling rather than raw data and research code
  • you need mocap of objects, faces, or animals rather than human characters
  • you cannot handle large files via git LFS

Facets

dataset · maturity stable

machine-learning animation benchmarking data-generation machine-learning computer-vision graphics cross-platform python motion-capture character-animation bvh motion-in-betweening deep-learning siggraph game-development research

1 source

Member repositories

RepositoryRoleHealth v2
ubisoft/ubisoft-laforge-animation-datasetmain32

For agents

markdown · JSON · MCP: product_card(name="ubisoft/ubisoft-laforge-animation-dataset")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem