ShadowDraw：從任意物體到光影繪圖的構圖藝術

摘要

我们提出ShadowDraw框架，该系统能将普通三维物体转化为具有光影绘画效果的构图艺术。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，使得投影阴影能将线稿补全为可识别图像。为实现这一目标，我们通过优化场景配置来呈现有意义的阴影，运用阴影笔触引导线稿生成，并采用自动评估机制确保阴影与线稿的协调性及视觉品质。实验表明，ShadowDraw能在真实扫描数据、精选数据集和生成式资产等多种输入条件下产出引人入胜的成果，并可自然扩展至多物体场景、动画及实体部署。本工作为创作光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。欢迎访问我们的项目页面https://red-fairy.github.io/ShadowDraw/查看完整成果及端到端真实场景演示！

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!

ShadowDraw：從任意物體到光影繪圖的構圖藝術

ShadowDraw: From Any Object to Shadow-Drawing Compositional Art

摘要

Support