title: Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
summary: Intelligent game creation represents a transformative advancement in game
  development, utilizing generative artificial intelligence to dynamically
  generate and enhance game content. Despite notable progress in generative
  models, the comprehensive synthesis of high-quality game assets, including both
  images and videos, remains a challenging frontier. To create high-fidelity game
  content that simultaneously aligns with player preferences and significantly
  boosts designer efficiency, we present Hunyuan-Game, an innovative project
  designed to revolutionize intelligent game production. Hunyuan-Game encompasses
  two primary branches: image generation and video generation. The image
  generation component is built upon a vast dataset comprising billions of game
  images, leading to the development of a group of customized image generation
  models tailored for game scenarios: (1) General Text-to-Image Generation. (2)
  Game Visual Effects Generation, involving text-to-effect and reference
  image-based game visual effect generation. (3) Transparent Image Generation for
  characters, scenes, and game visual effects. (4) Game Character Generation
  based on sketches, black-and-white images, and white models. The video
  generation component is built upon a comprehensive dataset of millions of game
  and anime videos, leading to the development of five core algorithmic models,
  each targeting critical pain points in game development and having robust
  adaptation to diverse game video scenarios: (1) Image-to-Video Generation. (2)
  360 A/T Pose Avatar Video Synthesis. (3) Dynamic Illustration Generation. (4)
  Generative Video Super-Resolution. (5) Interactive Game Video Generation. These
  image and video generation models not only exhibit high-level aesthetic
  expression but also deeply integrate domain-specific knowledge, establishing a
  systematic understanding of diverse game and anime art styles.
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paper_authors.name: Xinchi Deng
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paper_authors.name: Linus
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paper_authors.name: Qinglin Lu
paper_title: Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
paper_summary: Intelligent game creation represents a transformative advancement in game
  development, utilizing generative artificial intelligence to dynamically
  generate and enhance game content. Despite notable progress in generative
  models, the comprehensive synthesis of high-quality game assets, including both
  images and videos, remains a challenging frontier. To create high-fidelity game
  content that simultaneously aligns with player preferences and significantly
  boosts designer efficiency, we present Hunyuan-Game, an innovative project
  designed to revolutionize intelligent game production. Hunyuan-Game encompasses
  two primary branches: image generation and video generation. The image
  generation component is built upon a vast dataset comprising billions of game
  images, leading to the development of a group of customized image generation
  models tailored for game scenarios: (1) General Text-to-Image Generation. (2)
  Game Visual Effects Generation, involving text-to-effect and reference
  image-based game visual effect generation. (3) Transparent Image Generation for
  characters, scenes, and game visual effects. (4) Game Character Generation
  based on sketches, black-and-white images, and white models. The video
  generation component is built upon a comprehensive dataset of millions of game
  and anime videos, leading to the development of five core algorithmic models,
  each targeting critical pain points in game development and having robust
  adaptation to diverse game video scenarios: (1) Image-to-Video Generation. (2)
  360 A/T Pose Avatar Video Synthesis. (3) Dynamic Illustration Generation. (4)
  Generative Video Super-Resolution. (5) Interactive Game Video Generation. These
  image and video generation models not only exhibit high-level aesthetic
  expression but also deeply integrate domain-specific knowledge, establishing a
  systematic understanding of diverse game and anime art styles.
paper_ai_summary: 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.
paper_ai_keywords: generative artificial intelligence image generation video generation General Text-to-Image Generation Game Visual Effects Generation Transparent Image Generation Game Character Generation Image-to-Video Generation 360 A/T Pose Avatar Video Synthesis Dynamic Illustration Generation Generative Video Super-Resolution Interactive Game Video Generation