AI Full-Body Digital Human Generation System

AI System for Full-Body Digital Human Generation

Full-body digital human significantly more complex than talking head: requires correct anatomy, natural body kinematics, hand movement coordination with speech, plausible clothing with fabric simulation. We build system covering complete stack from geometry to real-time rendering.

Components

Body Geometry:

• SMPL-X — parametric body model (72 poses, 10 shape, 10 expression parameters). Standard for motion-related tasks
• MetaHuman (Unreal Engine 5) — high-quality geometry + rig, industry standard for realism
• Ready libraries (Mixamo, ActorCore) for accelerated startup

Motion Generation:

• MotionDiffuse / MDM (Motion Diffusion Model) — generating animations from text description ("person walks confidently", "points right")
• T2M-GPT — transformer motion sequence generation
• Gesture synthesis synchronized with speech (Beat2)
• Mixamo Auto-Rigger + motion retargeting for transferring existing animations

Cloth Simulation:

• Marvelous Designer / CLO3D for artistic tailoring
• PhysX / Chaos (UE5) for real-time fabric simulation
• Neural cloth (reducing simulation cost via neural network approximation)

Rendering:

• Unreal Engine 5: Lumen GI + Nanite + MetaHuman for cinematic result
• Real-time DLSS 3.5 + Frame Generation for 60 fps at high quality
• WebGL / Three.js for browser embedding (with LOD degradation)

Development Pipeline

Weeks 1–5: Character design, modeling, rigging. MetaHuman customization or custom mesh.

Weeks 6–10: Motion system: base library + generative animations. Cloth setup.

Weeks 11–14: Real-time dialogue integration (if interactivity needed). Lip sync, facial animation.

Weeks 15–18: Platform deployment. Optimization for target devices and FPS.

Rendering Performance

Full-body digital human is complex and expensive product. We recommend starting with talking head (3–6 weeks, lower budget) and scaling to full-body with confirmed business case.