색상 제어 MLP 어댑터를 적용한 Stable Diffusion 기반 2D 실내 리라이팅 시스템 = Stable Diffusion-Based 2D Indoor Relighting System with Color-Control MLP Adaptors

다국어 초록 (Multilingual Abstract)

While interior design platforms are rapidly adopting AR and 3D rendering technologies, the lighting preview features in existing online simulators and AR services often fail to incorporate accurate optical effects, limiting users' ability to experience the actual atmosphere of a space. To bridge this realism gap, this paper proposes an AI-based 2D indoor relighting system. The proposed system performs luminaire-grounded relighting—applying the light source directly to the actual fixture location—and supports multi-color lighting changes to enhance the user experience. Built upon Latent-Intrinsics and diffusion models, we fine-tuned the U-Net cross-attention to specialize in lamp objects and employed a trained ControlNet and Color Adaptor for stable color injection. Experimental results demonstrate superior color reproduction compared to baseline models, with performance improvements of approximately 2.5× in RMSE and LPIPS, and 1.2× in SSIM. We anticipate that these findings will serve as a sophisticated lighting preview solution for future AR-based interior services.