Text Mask

Text masking in image processing focuses on intelligently removing or altering textual content within images, aiming for seamless visual integration of the modified area with the surrounding context. Current research emphasizes developing efficient and accurate algorithms, often employing deep learning architectures like recurrent networks and vision transformers, to achieve this goal, with a focus on improving the quality of the masked regions and handling diverse text characteristics. These advancements have implications for various applications, including image editing, data privacy, and improving the performance of downstream tasks like image-to-image translation and multi-modal data filtering by mitigating the influence of textual artifacts.