Face Inpainting technology is mainly used to repair missing or damaged parts in facial images, such as occlusions, scars, wrinkles, and blemishes. It automatically repairs these imperfections by intelligently recognizing facial features and using deep learning models, restoring the image to a natural and coherent state.

Face Restoration typically refers to recovering high-definition details from low-quality facial images, such as enhancing resolution and texture details. Face Inpainting focuses more on repairing missing parts of the image. The two can be used in combination, with Inpainting repairing the missing parts first, followed by Restoration to enhance the image quality.

This technology can be used in a variety of scenarios, including enhancing facial colors in social media photos, repairing and enhancing facial colors in old photos, improving skin tone performance in professional photography, and even in film and video production for high-definition restoration and color recovery of historical images.

Face Inpainting technology is designed to minimize impact on other parts of the image. It focuses mainly on facial repairs, using precise facial detection and local processing to avoid unnecessary changes to other areas of the image.

Face Restoration technology can effectively handle blurry facial images by using advanced algorithms, such as deep learning models. It enhances image details and improves resolution, making originally blurry facial features clearer and more vivid.

At present, Face Color Enhancement and Restoration technology does not support batch processing. However, please rest assured that we are actively developing this feature and expect to launch an update that supports batch processing soon. We understand the importance of batch processing for improving work efficiency and are prioritizing it in our product development plans.