ZhengyiLuo/PHC

Health v2 · maintenance only

Flags: no_releases no_license no_readme

Adoption not part of the score

1280 stars · 125 forks observed · 2026-08-28

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

Official implementation of the ICCV 2023 paper 'Perpetual Humanoid Control for Real-time Simulated Avatars'. It provides a Python codebase for training physics-based humanoid controllers that drive real-time simulated avatars using Isaac Gym.

Use cases

• simulate physically realistic humanoid avatars in real time
• train reinforcement learning policies for humanoid motion control
• reproduce results from the PHC ICCV 2023 paper
• build physics-based character animation for games or VR
• track motion capture data with simulated humanoid agents

When to avoid

• you need kinematic animation without physics simulation
• you lack a CUDA GPU or Isaac Gym environment
• you want a production-ready animation middleware rather than research code

Facets

library · maturity active

simulation machine-learning deep-learning graphics simulation machine-learning graphics robotics python humanoid-control avatar-animation physics-simulation isaac-gym reinforcement-learning research-code linux gpu

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markdown · JSON · MCP: product_card(name="ZhengyiLuo/PHC")