About InfinityHuman

InfinityHuman is centered on long-term audio-driven human animation. It separates motion from appearance by first predicting an audio-synchronized pose sequence, then reconstructing the final video frames with a pose-guided refiner that uses the first frame as a visual anchor. This design reduces identity drift, color shifts, and scene instability over extended durations.

Framework overview

The pipeline follows a coarse-to-fine approach. Audio analysis provides timing for speech and emphasis. A pose model generates a stable sequence of poses aligned with those cues. The refiner then builds high-resolution frames while checking against the first frame to keep the person and scene consistent. By decoupling pose from appearance, the system maintains stability for minutes-long videos.

Focus areas

• Identity stability over long sequences
• Lip synchronization guided by audio timing
• Natural variation in hand and body gestures
• Consistent lighting and background anchored to the first frame

Typical uses

• Talking avatar content for explainers and tutorials
• Interview-style presentations with steady identity
• Product and feature walkthroughs narrated by a presenter
• Training and educational clips that require clear lip sync