Features: Enlarge the image by 2x or 4x while optimizing texture details and improving image clarity.
Application: Photos, network pictures, old photos taken by mobile phones, etc.

Features: Extract the features of images and adaptively adjust details to achieve the effect of de-focusing blur, enhancing details and sharpening edges, resulting in further improvement of subjective image quality.
Applicable: Mainly used for post-processing of denoising and super-resolution results.

Features: Fix low-resolution, blurry photos that contain noise, improve the resolution, remove noise from photos and enhance the details and texture of characters.
Application: Images containing portraits such as old photos, internet pictures, multi-person photos, scanned photos, etc.

Features: Enhance photos containing slight noise or slight blur. Increase the resolution, remove noise and enhance the details and texture of characters.
Application: Photos containing portraits such as selfie on mobile phone, portraits photos, ID photos, etc.

Features: Convert static portrait photos into dynamic face clips with wink and smile and output them in GIF-format. Capable of identifying and animating the core of a single face in an image form a small front or side angle.
Application:Images containing portraits such as old photos, selfies, ID photos, etc., and support processing of a single frontal face or core of human faces in photos.

Features: Adaptive remove noise and pseudo-shadow caused by compression, transmission, or insufficient lighting, while retaining as much valid information as possible.
Application: Photos, network pictures, old photos taken by mobile phones, etc.

Features: Automatically identify all kinds of common objects in different scenes and select appropriate color for coloring according to the learned data distribution, and ensure the accuracy of colors as much as possible.
Application: pictures containing landscape or portraits, especially for some black and white pictures with clear front- and background. Not suitable for old photos with scratches and blurred, indistinguishable fron- and background.

Features:Combine image defect detection and automatic completion technology to automatically restore photos with scratches, creases, damage, missing corners, stains and other defects, improve photo quality.
Application: old photos with light damage

Features: Convert images into Japanese manga, American comics and many other comic styles.
Application: Image containing landscape, characters and animals, provide the best processing effect when images are clear.

Features: The automatic-dimming algorithm based on deep learning estimate the brightness at different positions of the entire image, adaptive adjust different parts to different level and enhance the expressiveness of images.
Application: photos taken in low-light environment and underexposed photos.

Features: Automatically complete pixels in the specified area. Remove watermarks, characters, logos etc. from photos.
Application:Pictures with watermarks, logos and other objects.

Features: Restore low-resolution, blurry photos that contain noise. Improve the resolution of photos, fix blurry faces, remove noise from photos, and enhance the details and texture of characters.
Application: Photos that contain lots of small frontal faces.

Features: Convert photos of frontal face with any background into a standard ID photo automatically, with choices of background color and photo size.
Application: Portraits or photos with clear frontal face.

Features: Remove dense fog from images and improve the clarity of details.
Application: fogging photos.

Features:AI generates photo-quality images with given basic elements and layout.
Application: Early childhood education and entertainment.