TY  - JOUR
T1  - Aspect-Based Comparative Summarization with Large Language Model
AU  - Kang, Yunseok 
AU  - Lee, Jaeseok 
AU  - Choi, Jaewoong 
AU  - Lee, Jaekoo 
JO  - Journal of KIISE, JOK
PY  - 2025
DA  - 2025/1/14
DO  - 10.5626/JOK.2025.52.7.587
KW  - large-scale scenes
KW  - 3D scene reconstruction
KW  - 3D Vision
KW  - 3D gaussian splatting
AB  - 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.