Animegamer

🚀 AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction

AnimeGamer is a groundbreaking model that enables infinite anime life simulation. It uses Multimodal Large Language Models (MLLMs) to generate dynamic animation shots, depicting character movements and state updates. By integrating historical visual context, it ensures consistent gameplay and high - quality video clips, offering an immersive gaming experience.

🚀 Quick Start

There is no specific quick - start content in the original document, so this section is skipped.

✨ Features

• Infinite Anime Life Simulation: AnimeGamer allows users to experience endless adventures in the anime world.
• Multimodal Large Language Model (MLLM) Utilization: It uses MLLMs to generate dynamic animation shots, accurately depicting character movements and state changes.
• Context - Aware Generation: By incorporating historical visual context, it ensures the consistency of the generated content and an engaging gaming experience.
• High - Quality Video Production: With novel action - aware multimodal representations and a video diffusion model, it produces high - quality video clips.

📄 License

• License Type: other
• License Name: animegamer - lisence
• License Link: LICENSE

📚 Documentation

Introduction

Experience the endless adventure of infinite anime life with AnimeGamer! 🤩

AnimeGamer is a pioneering model designed for infinite anime life simulation. It leverages Multimodal Large Language Models (MLLMs) to generate dynamic animation shots that depict character movements and updates to character states. By incorporating historical visual context, AnimeGamer ensures contextual consistency and engaging gameplay. AnimeGamer uses novel action - aware multimodal representations and a video diffusion model to produce high - quality video clips, creating an immersive and ever - evolving gaming experience.

Citation

If you find the work helpful, please consider citing:

@article{cheng2025animegamer,
  title={AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction},
  author={Cheng, Junhao and Ge, Yuying and Ge, Yixiao and Liao, Jing and Shan, Ying},
  journal={arXiv preprint arXiv:2504.01014},
  year={2025}
}

Authors: Junhao Cheng^1,2, Yuying Ge^1,✉, Yixiao Ge¹, Jing Liao², Ying Shan¹

¹ARC Lab, Tencent PCG, ²City University of Hong Kong

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