# SketchDirector: Complex Scene Sketching via Agentic Layout Reasoning and Detail Refinement

**Authors:** Yiqi Liang, Xiaodong Cun  
**Lab:** GVC Lab at Great Bay University · **Published:** 30 Oct 2026 · **Upvotes:** 1  
**Links:** [arXiv](https://arxiv.org/abs/2610.41260) · [PDF](https://arxiv.org/pdf/2610.41260) · [This page](https://omen-bit.github.io/ai-paper-daily/paper/2610.41260.html)

## Abstract

Existing sketch generation methods often rely on image guidance and are largely limited to individual objects or simplified scenes, leaving text-guided complex scene sketching underexplored. We present SketchDirector, an agentic framework that mimics the human sketching workflow for automatic multi-concept scene sketching. Given a scene-level text prompt, SketchDirector first employs a large language model~(LLM) to decompose the scene into multiple draft assets, where each is represented by a set of Bézier curves. Then, an agentic reasoning loop iteratively plans and executes their spatial arrangement, guided by self-evolving memory. Finally, a detail refinement module leverages diffusion priors to enhance sketch quality while preserving geometric structure. To support future research and applications in multi-concept scene sketch generation, we further introduce the MCSketch8K dataset, comprising editable vector assets, compositional layouts, and object-level manipulation annotations. Extensive experiments show that SketchDirector outperforms state-of-the-art baselines in semantic and compositional quality while effectively preserving overall contour organization during refinement. The project page is: https://yiki77.github.io/SketchDirector/{https://yiki77.github.io/SketchDirector/}.

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