UniRig - AI Image Models Tool

Overview

UniRig is a unified framework that automates 3D model rigging using a GPT-like transformer to predict skeleton hierarchies and per-vertex skinning weights. It targets diverse 3D assets — including humans, animals, and objects — to streamline traditionally time-consuming rigging workflows.

Key Features

• GPT-like transformer predicts skeleton hierarchies.
• Predicts per-vertex skinning weights for deformation.
• Unified pipeline for humans, animals, and objects.
• Automates repetitive, time-consuming rigging steps.
• Designed to integrate into asset-processing workflows.

Ideal Use Cases

• Rapid rigging of character models for games and animation.
• Prototype skeletal rigs for research and development.
• Batch-process large 3D asset libraries.
• Generate training data for deformation and animation research.

Getting Started

• Clone the UniRig GitHub repository.
• Read the repository README and example notebooks.
• Install listed dependencies and required Python packages.
• Prepare 3D assets in a compatible mesh format.
• Run provided example scripts to generate rigs.
• Inspect predicted skeletons and skin weights in your DCC tool.

Pricing

Not disclosed in the provided context. No pricing or hosted-service information included; check the GitHub repository for license and usage terms.

Limitations

• Documentation and installation details are not included in the provided context.
• No pricing or hosted-service information is available in the provided context.
• Repository-based code may require technical setup and domain knowledge to run.

Key Information

• Category: Image Models
• Type: AI Image Models Tool