将3D视觉重建结果转为可打印的高保真彩色模型
Poxel: Voxel Reconstruction for 3D Printing
- 用体素网格直接生成可打印的三维结构
- 支持CMYKWCl全彩打印，分辨率更高
- 适合需要真实色彩和精细结构的3D打印应用
近年来，基于神经渲染的3D重建方法（如NeRF和Plenoxel）在数字可视化方面取得显著进展，但其依赖视角的RGB颜色模型和2D点阵技术难以适配物理3D打印。本文提出Poxel（Printable-Voxel），一种专为光聚合喷射3D打印优化的体素重建框架，支持高分辨率、全彩色建模，采用适用于多材料喷射的CMYKWCl颜色空间。该框架通过消除视点依赖性，将数字RGB色彩空间转换为可打印的物理色彩空间，直接输出可打印的体素网格。实验表明，该系统在打印模型的保真度与质量上优于传统方法，更符合实体3D物体的实际需求。
原文摘要 · Abstract (English)
Recent advancements in 3D reconstruction, especially through neural rendering approaches like Neural Radiance Fields (NeRF) and Plenoxel, have led to high-quality 3D visualizations. However, these methods are optimized for digital environments and employ view-dependent color models (RGB) and 2D splatting techniques, which do not translate well to physical 3D printing. This paper introduces "Poxel", which stands for Printable-Voxel, a voxel-based 3D reconstruction framework optimized for photopolymer jetting 3D printing, which allows for high-resolution, full-color 3D models using a CMYKWCl color model. Our framework directly outputs printable voxel grids by removing view-dependency and converting the digital RGB color space to a physical CMYKWCl color space suitable for multi-material jetting. The proposed system achieves better fidelity and quality in printed models, aligning with the requirements of physical 3D objects.
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