影绘：从任意物体到光影构图艺术创作

摘要

我们推出ShadowDraw框架，该框架能将普通三维物体转化为具有构图美感的投影绘画艺术。给定三维物体后，我们的系统可预测包含物体姿态与光照的场景参数，同时生成部分线稿，使得投射的阴影能将线稿补全为可识别的图像。为此，我们通过优化场景配置来呈现有意义的阴影，运用投影笔触引导线稿生成，并采用自动评估机制确保投影与绘画的连贯性及视觉品质。实验表明，ShadowDraw对真实扫描数据、精选数据集及生成式资产等多种输入均能生成引人入胜的结果，并可自然扩展到多物体场景、动画及实体部署。本工作为创作投影绘画艺术提供了实用流程，拓宽了计算视觉艺术的设计空间，在算法设计与艺术叙事之间架起桥梁。欢迎访问项目页面https://red-fairy.github.io/ShadowDraw/查看完整成果及端到端实景演示！

English

We introduce ShadowDraw, a framework that transforms ordinary 3D objects into shadow-drawing compositional art. Given a 3D object, our system predicts scene parameters, including object pose and lighting, together with a partial line drawing, such that the cast shadow completes the drawing into a recognizable image. To this end, we optimize scene configurations to reveal meaningful shadows, employ shadow strokes to guide line drawing generation, and adopt automatic evaluation to enforce shadow-drawing coherence and visual quality. Experiments show that ShadowDraw produces compelling results across diverse inputs, from real-world scans and curated datasets to generative assets, and naturally extends to multi-object scenes, animations, and physical deployments. Our work provides a practical pipeline for creating shadow-drawing art and broadens the design space of computational visual art, bridging the gap between algorithmic design and artistic storytelling. Check out our project page https://red-fairy.github.io/ShadowDraw/ for more results and an end-to-end real-world demonstration of our pipeline!

影绘：从任意物体到光影构图艺术创作

ShadowDraw: From Any Object to Shadow-Drawing Compositional Art

摘要

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