Video Harmonization

Video harmonization aims to seamlessly integrate foreground video footage into a background, correcting inconsistencies in lighting and color to create a realistic composite. Recent research focuses on improving the realism and efficiency of harmonization, exploring diverse color spaces (e.g., RGB and Lab) and novel architectures like U-Nets and cascade regressors to achieve this. These advancements are impacting fields such as video editing and medical image analysis, where accurate and efficient harmonization enhances the quality of synthetic data for training and improves the realism of augmented reality applications.