Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
Ruihuang Li, Caijin Zhou, Shoujian Zheng, Jianxiang Lu, Jiabin Huang, Comi Chen, Junshu Tang, Guangzheng Xu, Jiale Tao, Hongmei Wang, Donghao Li, Wenqing Yu, Senbo Wang, Zhimin Li, Yetshuan Shi, Haoyu Yang, Yukun Wang, Wenxun Dai, Jiaqi Li, Linqing Wang, Qixun Wang, Zhiyong Xu
2025-05-21
Summary
This paper talks about Hunyuan-Game, an advanced AI system that helps create high-quality game graphics and videos, making it easier and faster for game designers to build games that players will enjoy.
What's the problem?
The problem is that making all the images, videos, and other visual elements for games takes a lot of time and effort, and it's hard to quickly create content that matches what players want or fits different game situations.
What's the solution?
To solve this, the researchers developed generative AI models that can automatically create detailed game assets based on player preferences and specific needs for different parts of a game. These models are specialized so they can handle a variety of game scenarios, making the whole process much more efficient.
Why it matters?
This matters because it allows game developers to bring creative ideas to life faster and with less work, leading to better games and more personalized experiences for players.
Abstract
Hunyuan-Game leverages generative models to produce high-fidelity game assets, including images and videos, addressing player preferences and enhancing designer efficiency through specialized models for various game scenarios.