SketchDirector: Complex Scene Sketching via Agentic Layout Reasoning and Detail Refinement
READ THE ORIGINAL SOURCEOpen original sourcehuggingface.co · Opens in a new tabSketchDirector is an agentic framework for text-guided complex scene sketching. An LLM decomposes a scene prompt into draft assets, each represented by Bézier curves. An agentic reasoning loop plans and executes their spatial arrangement using self-evolving memory, and a detail refinement module uses diffusion priors to improve sketch quality while preserving geometry. The authors also introduce MCSketch8K, a dataset of editable vector assets, compositional layouts, and object-level manipulation annotations. Experiments are reported to outperform state-of-the-art baselines in semantic and compositional quality.
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- Primary sourceHugging Face Daily Papers
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SketchDirector is an agentic framework for text-guided complex scene sketching. An LLM decomposes a scene prompt into draft assets, each represented by Bézier curves. An agentic reasoning loop plans and executes their spatial arrangement using self-evolving memory, and a detail refinement module uses diffusion priors to improve sketch quality while preserving geometry. The authors also introduce MCSketch8K, a dataset of editable vector assets, compositional layouts, and object-level manipulation annotations. Experiments are reported to outperform state-of-the-art baselines in semantic and compositional quality.
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Key findings from the stored brief
- The framework decomposes a scene-level text prompt into multiple draft assets, each represented by a set of Bézier curves.
- An agentic reasoning loop iteratively plans and executes spatial arrangement, guided by self-evolving memory.
- A detail refinement module uses diffusion priors to enhance sketch quality while preserving geometric structure.
- The MCSketch8K dataset includes editable vector assets, compositional layouts, and object-level manipulation annotations.
Source claims not independently checked; the reported outperformance over baselines is the authors' own result.
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Evidence & sources
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Why this may matter
Most sketch generation work handles single objects or simple scenes and relies on image guidance. This work targets text-guided multi-concept scene sketching and releases a dataset with editable vector outputs, which may support future research and editing applications.
Limits and open questions
Source claims not independently checked; the reported outperformance over baselines is the authors' own result.
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