Date of Award

Spring 6-13-2026

Document Type

Thesis (Master's)

Department or Program

Computer Science

First Advisor

Nikhil Singh

Second Advisor

John Bell

Third Advisor

James Mahoney

Abstract

This thesis presents AI Director, a Unity-based prototype for semantic directing in virtual cinematography. The system enables creators to describe cinematic intent in natural language, receive editable shot-strategy plans generated by a large language model, and refine specific shots through text and visual references. By separating semantic planning from deterministic camera execution, the workflow keeps user authorship centered on shot intent while making the resulting camera plans inspectable, editable, and executable in real time. This work explores semantic directing as a human-AI workflow for iterative cinematic authoring in dynamic 3D scenes.

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