Mach is a new system by researchers from the Institute for Intelligent Computing and Alibaba Group, simplifying 3D avatar creation using advanced language and vision models. It transforms text descriptions into detailed avatars, while Triplane enhances geometry generation and diffusion texture extraction. The study showcases expressive avatars achieved through stable diffusion models and dense facial landmarks.
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Revolutionizing 3D Character Creation with Machine Learning for the AI and Metaverse Era
Realistic 3D avatars are in high demand for various applications such as virtual reality experiences, virtual meetings, conversational agents, and intelligent customer service. However, creating personalized 3D avatars using conventional digital tools can be complex and time-consuming for general users.
Introducing Make-A-Character (Mach)
Researchers have introduced Make-A-Character (Mach), a system designed to simplify the creation of 3D digital human models. Mach leverages advanced language and vision models to transform basic text descriptions into detailed and realistic 3D avatars, allowing users to effortlessly generate personalized avatars that align with their envisioned personas. This system also enables easy integration with existing CG pipelines for dynamic expressiveness.
Key Features of Mach
- Mach utilizes a conversion mechanism named Triplane, which improves geometry generation and optimizes camera parameters and maps based on dense facial landmarks and reference images.
- The system employs differentiable rendering and enhancement methods to extract and perfect the diffuse texture using a reference image, as well as detailed strand-level hair synthesis and assembly of accessories to create comprehensive 3D figures.
- Visual results of the generated 3D avatars demonstrate expressive animations achieved through facial rig control, showcasing realistic textures and geometry.
Practical AI Solutions
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