aigc3d/LAM

Health v2 · maintenance only

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1043 stars · 105 forks observed · 2026-08-28

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

LAM is a PyTorch implementation of a Large Avatar Model that reconstructs an animatable 3D Gaussian head from a single image in one forward pass. It enables real-time animation and rendering across platforms, including mobile and WebGL, and integrates with OpenAvatarChat for interactive 3D chatting avatars.

Use cases

• create a 3D talking avatar from one photo
• animate a gaussian head avatar with audio input
• render 3D avatars in real time in the browser with WebGL
• build an interactive 3D digital human chatbot
• export avatars for OpenAvatarChat
• reenact a face from a single image

When to choose

• you need a photorealistic animatable 3D head from a single image
• you want real-time avatar rendering on mobile or web
• you are building an interactive 3D chatting avatar pipeline

When to avoid

• you need full-body avatars rather than heads
• you lack a GPU for inference
• you need offline video-based avatar training from captured sequences

Facets

library · maturity active

machine-learning deep-learning image-processing graphics sdk tts artificial-intelligence computer-vision graphics chatbots large-language-models python cross-platform gaussian-splatting 3d-avatar face-reconstruction flame digital-human one-shot siggraph talking-head webgl gpu web docker

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For agents

markdown · JSON · MCP: product_card(name="aigc3d/LAM")