Make-A-Character: High Quality Text-to-3D Character Generation within
  Minutes
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/.
658ba380c88fda265cdea9b8
Jianqiang Ren
658ba380c88fda265cdea9b9
Chao He
658ba380c88fda265cdea9ba
Lin Liu
658ba380c88fda265cdea9bb
Jiahao Chen
658ba380c88fda265cdea9bc
Yutong Wang
658ba380c88fda265cdea9bd
Yafei Song
658ba380c88fda265cdea9be
Jianfang Li
658ba380c88fda265cdea9bf
Tangli Xue
658ba380c88fda265cdea9c0
Siqi Hu
658ba380c88fda265cdea9c1
Tao Chen
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Kunkun Zheng
658ba380c88fda265cdea9c3
Jianjing Xiang
658ba380c88fda265cdea9c4
Liefeng Bo
Make-A-Character: High Quality Text-to-3D Character Generation within
  Minutes
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/.
The Make-A-Character (Mach) framework uses large language and vision models to create realistic, 3D avatars from text descriptions efficiently, enabling customization and seamless integration with existing CG pipelines.
large language models large vision models textual intention understanding intermediate image generation human-oriented visual perception 3D generation modules 3D avatars