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COMIC: Agentic Sketch Comedy Generation

Susung Hong Brian Curless Ira Kemelmacher-Shlizerman Steve Seitz

Arxiv_logoArxiv

COMIC: Agentic Sketch Comedy Generation

Susung Hong Brian Curless Ira Kemelmacher-Shlizerman Steve Seitz

作者信息

Abstract

We propose a fully automated AI system that produces short comedic videos similar to sketch shows such as Saturday Night Live. Starting with character references, the system employs a population of agents loosely based on real production studio roles, structured to optimize the quality and diversity of ideas and outputs through iterative competition, evaluation, and improvement. A key contribution is the introduction of LLM critics aligned with real viewer preferences through the analysis of a corpus of comedy videos on YouTube to automatically evaluate humor. Our experiments show that our framework produces results approaching the quality of professionally produced sketches while demonstrating state-of-the-art performance in video generation.

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Susung Hong,Brian Curless,Ira Kemelmacher-Shlizerman,Steve Seitz.COMIC: Agentic Sketch Comedy Generation[EB/OL].(2026-03-11)[2026-03-13].https://arxiv.org/abs/2603.11048.

学科分类

科学、科学研究/文化事业

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首发时间 2026-03-11
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