Mirror Illusion Art

2026-07-02

AI Summary

Existing methods for inversely generating 3D illusion objects from front and mirrored 2D images rely heavily on manual intervention, optimize only geometry, and often yield incomplete results. This work proposes AutoMIA, the first fully automated framework that jointly optimizes both 3D geometry and texture for dual-view illusion design, enabling efficient synthesis of smooth, printable illusion artifacts. By integrating four key mechanisms—Projection Alignment Component selection (PAC), Position-Weighted Adaptive suppression (PWA), Internal Voxel Preservation (IVP), and Shape-Color Decoupled optimization (SCD)—AutoMIA substantially enhances geometric completeness and visual fidelity. The method achieves an average runtime of 76 seconds with 2.6 GB memory consumption on a single RTX 3090 GPU, successfully producing diverse digital and physical illusion artworks and significantly outperforming existing approaches in both quality and efficiency.

Abstract

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. Our code is available at https://github.com/zxp555/AutoMIA.

Problem

• Mirror Illusion Art
• inverse design
• 3D illusion
• computational design
• shape and color optimization

Innovation

• Mirror Illusion Art
• inverse design
• joint shape-color optimization
• computational fabrication
• 3D illusion