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mkocabas/VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation" observed · 2026-08-28

github.com/mkocabas/VIBE · homepage · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2457
  • days_rel: n/a
  • days_push: 1258
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3211 stars · 579 forks observed · 2026-08-28

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

Official PyTorch implementation of VIBE (CVPR 2020), a video-based method for 3D human body pose and shape estimation that predicts SMPL body model parameters per frame. It supports arbitrary videos with multiple people, GPU/CPU inference, training code, and FBX/glTF export for graphics software.

Use cases

  • estimate 3d human pose and shape from video
  • extract smpl body model parameters from video frames
  • reconstruct human motion sequences from rgb video
  • convert video motion capture to fbx or gltf for blender or unity
  • train a temporal 3d pose estimation model from scratch
  • run multi-person 3d pose estimation on arbitrary videos

When to choose

  • you need video-based 3d human pose/shape estimation with SMPL output
  • you want a research-grade reference implementation with pretrained models and training code
  • you need motion data exportable to graphics tools via FBX/glTF

When to avoid

  • you need real-time pose estimation on low-end hardware without a GPU
  • you need actively maintained code with recent dependency support
  • you only need 2D keypoint detection rather than 3D body model fitting

Facets

library · maturity maintenance

computer-vision machine-learning video-processing deep-learning computer-vision deep-learning machine-learning python pose-estimation smpl 3d-human-pose motion-capture pytorch cvpr-2020 research-code video linux gpu

6 sources

Member repositories

RepositoryRoleHealth v2
mkocabas/VIBEmain23

For agents

markdown · JSON · MCP: product_card(name="mkocabas/VIBE")

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