Opti3D for low light enhancement and calibration free 3D digitization of cultural relics

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2025年7月22日

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Jialiang He,
Qingzheng Jia

摘要

In this paper, we present Opti3D, a unified enhancement–reconstruction framework addressing three key challenges in 3D digitization of cultural artifacts: low-light conditions, non-invasive data acquisition, and high computational complexity. First, we designed a low-light image enhancement network integrating residual attention and multi-scale illumination enhancement modules, which significantly improves image contrast and detail fidelity while suppressing noise artifacts. Second, we introduced an end-to-end pipeline built on the existing DUSt3R approach. This approach reduces matching complexity from $O({N}^{2})$ $O (N^{2})$ to $O(N)$ $O (N)$ , enabling high-precision global geometric reconstruction without precise calibration or reliance on ordered image sequences. Finally, we introduced a pixel gradient scaling strategy into the 3D Gaussian Splatting algorithm to achieve ultra-photorealistic rendering of fine details. Extensive experiments demonstrate that Opti3D outperforms current mainstream methods, offering an efficient, scalable solution for heritage preservation.