Portrait Harmonization

Portrait harmonization aims to seamlessly integrate a foreground portrait into a new background, resolving inconsistencies in lighting, color, and overall visual coherence. Recent research focuses on improving harmonization through advanced techniques like patch-based normalization, which addresses local inconsistencies, and lighting-aware diffusion models that leverage background illumination cues for more realistic results. Interactive methods are also emerging, allowing users to selectively guide the harmonization process based on specific background regions. These advancements enhance the realism and controllability of image compositing, with implications for photo editing software, digital art creation, and other visual media applications.