Narrative-to-Scene Generation: An LLM-Driven Pipeline for 2D Game Environments
Recent advances in large language models (LLMs) enable compelling story generation, but connecting narrative text to playable visual environments remains an open challenge in procedural content generation (PCG). We present a lightweight pipeline that transforms short narrative prompts into a sequence of 2D tile-based game scenes, reflecting the temporal structure of stories. Given an LLM-generated narrative, our system identifies three key time frames, extracts spatial predicates in the form of "Object-Relation-Object" triples, and retrieves visual assets using affordance-aware semantic embeddings from the GameTileNet dataset. A layered terrain is generated using Cellular Automata, and objects are placed using spatial rules grounded in the predicate structure. We evaluated our system in ten diverse stories, analyzing tile-object matching, affordance-layer alignment, and spatial constraint satisfaction across frames. This prototype offers a scalable approach to narrative-driven scene generation and lays the foundation for future work on multi-frame continuity, symbolic tracking, and multi-agent coordination in story-centered PCG.
Code (0)
등록된 구현이 없습니다.
Tasks
Story GenerationScene GenerationSimilar Papers 제목 키워드 기반
Aether Weaver: Multimodal Affective Narrative Co-Generation with Dynamic Scene Graphs
We introduce Aether Weaver, a novel, integrated framework for multimodal narrative co-generation that overcomes limitations of sequential text-to-visual pipelines. Our system concurrently synthesizes textual narratives, …
From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation
Large Language Models (LLMs) have shown strong potential for narrative generation, but their use in complex, multi-layered role-playing game (RPG) worlds is still limited by issues of coherence, controllability, and stru…
From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives
Although large language models (LLMs) have demonstrated impressive creative fiction generation, they struggle to maintain narrative consistency and coherent plot lines in long-form stories. In this work, we introduce a u…
Story GenerationReinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR Experiences
Procedural Content Generation (PCG) is widely used to create scalable and diverse environments in games. However, existing methods, such as the Wave Function Collapse (WFC) algorithm, are often limited to static scenario…
reinforcement-learningReinforcement LearningReinforcement Learning (RL)Action2Dialogue: Generating Character-Centric Narratives from Scene-Level Prompts
Recent advances in scene-based video generation have enabled systems to synthesize coherent visual narratives from structured prompts. However, a crucial dimension of storytelling -- character-driven dialogue and speech …
Dialogue GenerationLarge Language ModelStory GenerationVideo Generation+1