V-GameGym: Visual Game Generation for Code Large Language Models

• URL: http://arxiv.org/abs/2509.20136v1
• Date: Wed, 24 Sep 2025 14:01:18 GMT
• Title: V-GameGym: Visual Game Generation for Code Large Language Models
• Authors: Wei Zhang, Jack Yang, Renshuai Tao, Lingzheng Chai, Shawn Guo, Jiajun Wu, Xiaoming Chen, Ganqu Cui, Ning Ding, Xander Xu, Hu Wei, Bowen Zhou,
• Abstract summary: V-GameGym is a comprehensive benchmark comprising 2,219 high-quality samples across 100 thematic clusters.<n>We introduce a multimodal evaluation framework with an automated LLM-driven pipeline for visual code synthesis.<n>Our analysis reveals that V-GameGym effectively bridges the gap between code generation accuracy and practical game development.
• Score: 29.687615056084166
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Code large language models have demonstrated remarkable capabilities in programming tasks, yet current benchmarks primarily focus on single modality rather than visual game development. Most existing code-related benchmarks evaluate syntax correctness and execution accuracy, overlooking critical game-specific metrics such as playability, visual aesthetics, and user engagement that are essential for real-world deployment. To address the gap between current LLM capabilities in algorithmic problem-solving and competitive programming versus the comprehensive requirements of practical game development, we present V-GameGym, a comprehensive benchmark comprising 2,219 high-quality samples across 100 thematic clusters derived from real-world repositories, adopting a novel clustering-based curation methodology to ensure both diversity and structural completeness. Further, we introduce a multimodal evaluation framework with an automated LLM-driven pipeline for visual code synthesis using complete UI sandbox environments. Our extensive analysis reveals that V-GameGym effectively bridges the gap between code generation accuracy and practical game development workflows, providing quantifiable quality metrics for visual programming and interactive element generation.

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