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Open weightsJiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, Cewu Lu (Shanghai Jiao Tong University, MVIG)/10 trustVerified

HybrIK

Twist-and-swing inverse kinematics: pixel-aligned SMPL meshes from a single image, CVPR 2021.

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About

HybrIK bridges two camps that used to fight: 3D keypoint methods (accurate but anatomically implausible) and body-mesh methods (realistic but misaligned). It predicts accurate 3D joints, then converts them to SMPL joint rotations with a hybrid inverse-kinematics solve — the swing component analytically from the joints, the twist component from a neural network.

The result is a pixel-aligned 3D body mesh that beat the previous state of the art by a wide margin on 3DPW. The code ships with pretrained HRNet-W48 and ResNet-34 backbones, a Blender add-on, and an AlphaPose integration for multi-person demos; HybrIK-X (TPAMI 2025) extends the idea to whole-body mesh recovery.

Specs

Context window

Image input (256x192 / 384x288 configs; SMPL mesh output)

Pricing

Free — research code and pretrained weights

Free quota

N/A (self-hosted)

API access

No hosted API — self-hosted code and weights

Weights

Open weights

Released

Not disclosed

Benchmarks

Provider-reported (CVPR 2021 paper): outperformed all previous methods by 13.2 mm MPJPE and 21.9 mm PVE on the 3DPW dataset. No independent published benchmarks were found.

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

3d-human-pose-estimationsmpl-mesh-recoverysingle-image-motion-captureblender-character-pipelinesvirtual-tryon

Trust score — 7/10

/10 trustVerified

Scored 7/10 (verified, metrics-v1). Evidence: peer-reviewed CVPR 2021 paper by named SJTU researchers; public code with pretrained HRNet/ResNet models and a Blender add-on; continued via HybrIK-X (TPAMI 2025). Strengths: strong venue, large reported gains on 3DPW, practical tooling. Docked for: (1) I could not verify the exact license of the release in this pass; (2) repo activity slowed after 2022. License: not verified — treat as research-use pending confirmation.

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
8.0/10
Maintenance · recency, releases, issue load
5.0/10
Openness · license + docs
6.0/10
Manual review · sanity read + red-flag check
8.0/10
  • · CVPR 2021 (Li, Xu, Chen, Bian, Yang, Lu; SJTU MVIG); hybrid analytical-neural IK, twist-and-swing decomposition.
  • · Provider-claimed +13.2mm MPJPE / +21.9mm PVE over prior SOTA on 3DPW.
  • · Repo activity slowed after 2022; HybrIK-X (TPAMI 2025) is the continuation; Blender add-on + AlphaPose integration.

Sources