생성형 AI 기반 단편영화 제작의 기술적 구현과 한계 분석

This study explores the use of generative AI to enhance efficiency and quality in short film production. The research focuses on three key areas: facial expression refinement, motion implementation, and background-object integration. AILab Tools, Act-One, Flux Canny, and Remove.bgwere employed to improve emotional subtlety and motion realism. Specifically, Act-One was used for facial expressions, Flux Canny and OpenPose for motion implementation, and Remove.bg and Stable Diffusion for background integration, resulting in higher production efficiency and improved visual quality. However, limitations such as challenges in fine-tuning emotions and reliance on training data were identified. This study analyzes the potential and limitations of AI in filmmaking and discusses its applicability to various production environments in the future.