TemplateCraft: Agentic Visual Template Generation
The growing popularity of short videos has driven demand for one-click content creation. Visual templates turn uploaded images into personalized content with preset effects, but reusable template generation still requires substantial manual effort in asset preparation and tool orchestration. We propose TemplateCraft, a multi-agent system that converts natural-language instructions into client-executable templates through planning, material generation, effect-workflow generation, and protocol compilation. Its Planner-Evaluator loop uses execution feedback for targeted rollback, while stage-level and long-term memory support revision without parameter updates. We evaluate TemplateCraft on T...
| Authors | Hongjie Yu, Zhiyuan Fan, Yuzhe Zhang et al. |
|---|---|
| Primary category | cs.MM |
| Published | 25 September 2026 |
| Last updated at source | 25 September 2026 |
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