Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 May 2025.
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Citing papers per year: 2025: 3; 2026: 1.
4 papers.
- 2025Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Conditioncited by 98
- 2025Yume: An Interactive World Generation Modelcited by 81
- 2025MagicWorld: Towards Long-Horizon Stability for Interactive Video World Explorationcited by 3
- 2026SpatialGuard: Harness-Guided Verifiable Spatial Reasoning for Text-to-Image Generationcited by 2
- 2026SpatialGuard: Harness-Guided Verifiable Spatial Reasoning for Text-to-Image Generation1 Sep 2026
- 2025MagicWorld: Towards Long-Horizon Stability for Interactive Video World Exploration24 Nov 2025
- 2025Yume: An Interactive World Generation Model23 Jul 2025
- 2025Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition20 Jun 2025