English(EN) From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pokémon Case Study

AI生成定制宝可梦交易卡，提升玩家参与度

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-30 15:03

本文探讨了使用大型语言模型和扩散模型程序化生成交易卡游戏内容，特别是针对宝可梦卡牌。该研究提出了一个结合玩家共创与AI模型来创建个性化和动态卡牌设计的流程。一项包含49名参与者的用户研究表明，参与者对生成的卡牌满意度很高，这表明AI有潜力增强创意范围并为传统游戏演变提供替代方案。 AI

影响展示了生成式AI在TCG等成熟行业中个性化内容创作的新颖应用。

排序理由学术论文，详细介绍了LLM和扩散模型在程序化内容生成方面的新颖应用。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.AI TIER_1 English(EN) · Johannes Pfau, Panagiotis Vrettis · 2026-05-01 04:00

From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pok\'emon Case Study

arXiv:2604.27972v1 Announce Type: new Abstract: Since the dawn of Trading Card Games, the genre has grown into a multi-billion-dollar industry engaging millions of analog and digital players worldwide. Popular TCGs rely on regular updates, balance adjustments, and rotating constr…
arXiv cs.AI TIER_1 English(EN) · Panagiotis Vrettis · 2026-04-30 15:03

From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pokémon Case Study

Since the dawn of Trading Card Games, the genre has grown into a multi-billion-dollar industry engaging millions of analog and digital players worldwide. Popular TCGs rely on regular updates, balance adjustments, and rotating constraints to sustain engagement. Yet, as metagames s…