MeiGen-AI/InfiniteTalk
InfiniteTalk
InfiniteTalk is an open-source system for generating talking head videos driven by audio input. It synthesizes realistic lip movements, head poses, and facial expressions synchronized to a spoken audio track, using either a single still image or a small set of reference video frames as the visual source. The system can produce videos of arbitrary length while maintaining temporal coherence, and it supports animating multiple subjects in a single scene.
A key differentiator is the ability to coordinate multiple talking subjects through a structured JSON description, giving each independent lip sync and motion. The system can infer plausible head and body motion from a single static image, and it provides an interactive web interface for uploading media and generating videos without command-line interaction. An audio-visual feature alignment network ensures accurate lip sync across varying speech rates, and temporal recurrent frame generation keeps motion smooth over long durations.
Features
- Talking Head Generators - Generates talking head videos from an audio track and sparse-frame references, with lip-sync and consistent head motion.
- Infinite-Length Generators - Generates talking videos of any length while preserving temporal coherence from sparse-frame reference input.
- Lip-Synced - Generates accurate lip-sync and facial animation for any audio input over arbitrary durations.
- Multi-Subject Animations - Animates multiple subjects in a single scene, each with synchronized lip-sync and motion defined by a JSON description.
- Single-Image Pose and Expression Inference - Infers plausible head and body motion from a single static image using learned priors.
- Sparse-Frame Appearance Encoders - Encodes a person's visual identity from a small set of reference frames for consistent generation.
- Arbitrary Duration Video Generators - Creates videos of arbitrary length while maintaining temporal coherence from sparse-frame input.
- Audio-Driven Talking Head Synthesis - Generates a talking video from a single image and an audio track, matching lip, head, and body motion.
- Audio Driven Synthesis - Synthesizes lip, head, and expression movements directly from audio features using a trained neural network.
- Avatar Generation - Creates talking avatar videos with synchronized lip movements, head poses, and expressions from audio and reference media.
- Web-Based Inference Orchestrators - Orchestrates file upload, model inference, and video output through a browser interface.
- Autoregressive Frame Denoisers - Generates each subsequent frame conditioned on previous outputs and audio features to maintain smoothness.
- Unlimited-Duration Talking Video Generators - Creates videos of any length while maintaining temporal coherence across frames from sparse-frame input.
- Audio-Visual Signal Alignment - Aligns audio and visual latent spaces to ensure accurate lip sync across varying speech rates.
- Interactive Model Interfaces - Provides an interactive web interface for uploading media and generating talking videos without command-line usage.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
