arXiv Open Access 2025

Poxel: Voxel Reconstruction for 3D Printing

Ruixiang Cao Satoshi Yagi Satoshi Yamamori Jun Morimoto
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

Penulis (4)

R

Ruixiang Cao

S

Satoshi Yagi

S

Satoshi Yamamori

J

Jun Morimoto

Format Sitasi

Cao, R., Yagi, S., Yamamori, S., Morimoto, J. (2025). Poxel: Voxel Reconstruction for 3D Printing. https://arxiv.org/abs/2501.10474

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
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Open Access ✓