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.

翻译：近年来，三维重建技术取得了显著进展，尤其是通过神经辐射场（NeRF）和Plenoxel等神经渲染方法，已能实现高质量的三维可视化效果。然而，这些方法主要针对数字环境进行优化，采用视角依赖的色彩模型（RGB）和二维点绘制技术，难以直接应用于物理三维打印。本文提出“Poxel”（即可打印体素），这是一种基于体素的三维重建框架，专为光敏聚合物喷射三维打印优化，能够利用CMYKWCl色彩模型生成高分辨率全彩三维模型。该框架通过消除视角依赖性，并将数字RGB色彩空间转换为适用于多材料喷射的物理CMYKWCl色彩空间，直接输出可打印的体素网格。实验表明，所提系统在打印模型中实现了更高的保真度与质量，满足物理三维物体的制作要求。