| title | SketchDirector: Complex Scene Sketching via Agentic Layout Reasoning and Detail Refinement |
|---|---|
| authors | Yiqi Liang, Xiaodong Cun |
| date | 2026-10-30 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2610.41260 |
| affiliation | GVC Lab at Great Bay University |
| upvotes | 1 (Hugging Face Daily Papers, 2026-11-03) |
| links | abs pdf hf code |
| 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/}. |
cite
@misc{liang2026sketchdirector,
title={SketchDirector: Complex Scene Sketching via Agentic Layout Reasoning and Detail Refinement},
author={Yiqi Liang and Xiaodong Cun},
year={2026},
eprint={2610.41260},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2610.41260}
}