镜面错觉艺术
Mirror Illusion Art
把「从两张目标图反推可打印 3D 物体」形式化为逆图形学优化问题，其投影对齐选择、位置加权背景抑制、内部体素保持与形状-颜色解耦优化四个机制，可直接迁移到需要抑制表面噪声与内部空洞的 3D 生成/重建优化流程中。
原文依据 The task is formulated as inverse design from two target 2D images (front and mirror) to a printable 3D object with geometry and texture.
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论镜面错觉艺术是一种新颖的、以反射为条件的 3D 错觉，其中同一个物体呈现出两种目标外观（正面与镜面）。该任务被形式化为从两张目标 2D 图像（正面与镜面）到具有几何与纹理的可打印 3D 物体的逆向设计。此前的拓扑驱动方法与基于阴影的方法需要大量人工投入、仅优化形状，且往往产生不平滑或不完整的几何。为应对这些挑战，我们提出 AutoMIA，一个自动化的镜面错觉艺术设计流程，联合优化形状与颜色。为稳定优化并抑制伪影，引入了四种机制：(1) 投影对齐组件（PAC）选择以减少表面噪声，(2) 位置加权自适应（PWA）抑制以消除背景噪声，(3) 内部体素保持（IVP）以防止内部断裂，(4) 形状-颜色解耦（SCD）优化以平衡形状与颜色的优化。AutoMIA 在数字世界与物理世界中均成功生成了多样且平滑的镜面错觉艺术品，在单块 RTX 3090 上平均仅需约 76 秒设计时间与 2.6 GB 显存，推动了逆图形学与计算设计的发展。
英文原文摘要 1204 字符
Mirror Illusion Art is a novel reflection-conditioned 3D illusion where one object yields two target appearances (front and mirror). The task is formulated as inverse design from two target 2D images (front and mirror) to a printable 3D object with geometry and texture. Prior topology-driven and shadow-based approaches demand substantial manual effort, optimize shape only, and often yield non-smooth or incomplete geometry. To address these challenges, we propose AutoMIA, an automated Mirror Illusion Art design pipeline that jointly optimizes shape and color. To stabilize optimization and suppress artifacts, four mechanisms are introduced: (1) projection-alignment component (PAC) selection to reduce surface noise, (2) position-weighted adaptive (PWA) suppression for background noise, (3) internal voxel preservation (IVP) to prevent internal fractures, and (4) shape-color decoupled (SCD) optimization that balance shape and color optimization. AutoMIA generate diverse smooth Mirror Illusion artworks successfully both in the digital and physical world, with only around 76s design time and 2.6 GB memory on average using a single RTX 3090, advancing inverse graphics and computational design.