HAAR

Overview

HAAR is an innovative text-based generation model designed to create realistic 3D hairstyles. Unlike traditional AI models, HAAR operates on 3D hair strands as its foundational representation. This approach allows it to generate highly detailed and accurate 3D hairstyle assets that can be directly applied in computer graphics animation projects.

The core functionality of HAAR revolves around a text-guided generation method. This method employs a conditional diffusion model to produce directed hair strands within the latent hairstyle UV space. Once the initial strands are generated, HAAR uses a latent upsampling process to reconstruct dense hairstyles containing tens of thousands of individual hair strands. The system also includes an automated annotation feature that leverages a 2D visual question answering system to tag and categorize the generated synthetic hairstyle models.

The final output from HAAR is compatible with existing computer graphics rendering techniques, ensuring seamless integration into animation workflows. This combination of advanced algorithms and efficient rendering capabilities makes HAAR a powerful tool for creating realistic and dynamic 3D hairstyles in various applications.

Target Users

HAAR is specifically designed to meet the needs of professionals working in computer graphics animation who require highly realistic and customizable 3D hairstyles. This includes game developers, VFX artists, and animators who need precise control over character appearances while maintaining visual realism.

Use Cases

Game Development: HAAR enables the creation of detailed and realistic hair models for in-game characters, enhancing character design and player immersion.
Film VFX: The tool can be used to generate lifelike hairstyles for virtual characters in movie productions, ensuring consistency and quality in visual effects.
Animation Production: HAAR is ideal for creating dynamic and realistic hair models for animated characters, reducing the time needed for manual hair modeling.

Features

– Generates Realistic 3D Hairstyles: Creates highly detailed and visually accurate hairstyles based on text prompts.
– Built on 3D Hair Strands: Uses individual hair strands as the base representation for more precise control over styling.
– Automated Annotation: Utilizes a 2D visual question answering system to automatically tag and organize generated hairstyles.
– Conditional Diffusion Model: Employs advanced AI techniques to guide hair strand generation within the latent space.
– Dense Hairstyle Reconstruction: Uses latent upsampling to create high-density hairstyles with thousands of individual strands.
– Rendering Compatibility: Outputs styles that can be rendered using existing computer graphics tools and pipelines.