Instagram Filter Removal

Instagram filter removal aims to computationally reverse the effects of popular social media filters, restoring images to their original, unfiltered state. Current research focuses on developing efficient and accurate deep learning models, employing architectures like multi-scale attention networks and contrastive learning methods to address the challenges posed by filters' complex, nonlinear transformations. This research is significant because filter removal improves the performance of downstream computer vision tasks, such as face recognition, and addresses concerns about biases introduced by filters, particularly in applications involving facial images and beauty standards. The development of faster and lighter models is also a key focus to enable wider applicability.