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Professor

디지털 배경 합성에서 가우시안 스플래팅을 활용한 카메라 시차 표현 방법 연구

ABSTRACT

This study proposes a method to represent the parallax effect of cameras in digital background compositing using 3D models generated through "Gaussian Splatting," a 3D reconstruction technique introduced at SIGGRAPH 2023. To achieve this, 3D background assets were created from drone footage, and a technique for adjusting camera focus based on depth information was introduced. The study successfully implemented a parallax effect, which is challenging to achieve with conventional 2D compositing methods, demonstrating the feasibility of high-quality, reality-based 3D background compositing. By showcasing the potential of digital compositing through Gaussian Splatting, this research aims to improve work efficiency in the VFX industry, including real-time background compositing, camera parallax effect implementation using LED walls in virtual studios, and the development of libraries for Gaussian Splatting 3D assets.