2 citations · 2 across the 7 of their papers we have counts for
7 papers
Reconstructing Persistent Worlds from Narratives for Narrative-Grounded Interactive Experiences
Yi-Chun Chen
Designing narrative-grounded interactive experiences remains labor-intensive because interactive content must align with the underlying world implied by the narrative. Existing app…
Narrative-to-Scene Generation: An LLM-Driven Pipeline for 2D Game Environments
Yi-Chun Chen, Arnav Jhala
Recent advances in large language models (LLMs) enable compelling story generation, but connecting narrative text to playable visual environments remains an open challenge in proce…
GameTileNet: A Semantic Dataset for Low-Resolution Game Art in Procedural Content Generation
Yi-Chun Chen, Arnav Jhala
GameTileNet is a dataset designed to provide semantic labels for low-resolution digital game art, advancing procedural content generation (PCG) and related AI research as a vision-…
Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models for Enhanced Creativity
Yi-Chun Chen, Arnav Jhala
This study presents a theory-inspired visual narrative generative system that integrates conceptual principles-comic authoring idioms-with generative and language models to enhance…
A Customizable Generator for Comic-Style Visual Narrative
Yi-Chun Chen, Arnav Jhala
We present a theory-inspired visual narrative generator that incorporates comic-authoring idioms, which transfers the conceptual principles of comics into system layers that integr…
Panel Transitions for Genre Analysis in Visual Narratives
Yi-Chun Chen, Arnav Jhala
Understanding how humans communicate and perceive narratives is important for media technology research and development. This is particularly important in current times when there…
CPST: Comprehension-Preserving Style Transfer for Multi-Modal Narratives
Yi-Chun Chen, Arnav Jhala
We investigate the challenges of style transfer in multi-modal visual narratives. Among static visual narratives such as comics and manga, there are distinct visual styles in terms…