Back to Research papers
Research paper index

COMIC: Agentic Sketch Comedy Generation

Susung Hong, Brian Curless, Ira Kemelmacher-Shlizerman, Steve Seitz

arXiv:2603.11048Published March 11, 20260 citations
  • cs.CV
  • cs.AI
  • cs.CL
  • cs.MA
  • cs.NE

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.

Read the original paper

This page indexes public paper metadata. The manuscript remains with its original publisher and authors.