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Make-A-Character: High Quality Text-to-3D Character Generation within Minutes
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Make-A-Character: High Quality Text-to-3D Character Generation within Minutes
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There is a growing demand for customized and expressive 3D characters with the emergence of AI agents and Metaverse, but creating 3D characters using traditional computer graphics tools is a complex and time-consuming task. To address these challenges, we propose a user-friendly framework named Make-A-Character (Mach) to create lifelike 3D avatars from text descriptions. The framework leverages the power of large language and vision models for textual intention understanding and intermediate image generation, followed by a series of human-oriented visual perception and 3D generation modules. Our system offers an intuitive approach for users to craft controllable, realistic, fully-realized 3D characters that meet their expectations within 2 minutes, while also enabling easy integration with existing CG pipeline for dynamic expressiveness. For more information, please visit the project page at https://human3daigc.github.io/MACH/.
Forward citations
Cited by 2 Pith papers
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OmniFaceRig: Fully Automatic Inner-Mouth-Aware Face Rigging Across Diverse 3D Character Topologies
OmniFaceRig automates creation of FACS blendshapes and inner-mouth geometry for diverse 3D character topologies from surface-only meshes using hybrid VLM+CV parsing, template registration, and procedural fitting.
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ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
ATLAS decouples skeleton and shape parameters in a parametric human body model, improving fit accuracy and controllability over previous models like SMPL-X.
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