@article{ME54B4B3F,
title = "Aspect-Based Comparative Summarization with Large Language Model",
journal = "Journal of KIISE, JOK",
year = "2025",
issn = "2383-630X",
doi = "10.5626/JOK.2025.52.7.587",
author = "Yunseok Kang, Jaeseok Lee, Jaewoong Choi, Jaekoo Lee",
keywords = "large-scale scenes, 3D scene reconstruction, 3D Vision, 3D gaussian splatting",
abstract = "We proposed a strategy to mitigate the VRAM(Video Random Access Memory) shortage problem encountered when applying 3D Gaussian Splatting in large-scale 3D mapping environments derived from drone footage. To efficiently manage large scale scenes, we partitioned input data, optimized each partition independently, and subsequently merged optimized scenes. Additionally, we introduced a technique to augment point data by considering specific characteristics of drone-captured footage during the optimization process. As a result, our method reduced VRAM usage by two-thirds compared to previous studies, while achieving a 2.5% average improvement in quality as measured by PSNR(Peak Signal-to-Noise Ratio). Our approach emphasizes enhancing the accuracy and quality of 3D reconstructions while minimizing VRAM consumption."
}