This paper reviews the second AIM learned ISP challenge and provides the description of
the proposed solutions and results. The participating teams were solving a real-world RAW …

Image super-resolution is a common task on mobile and IoT devices, where one often needs
to upscale and enhance low-resolution images and video frames. While numerous solutions …

Moving object segmentation (MOS) is the process of identifying dynamic objects from video
frames, such as moving vehicles or pedestrians, while discarding the background. It plays …

Image super-resolution is one of the most popular computer vision problems with many
important applications to mobile devices. While many solutions have been proposed for this …

Video super-resolution has recently become one of the most important mobile-related
problems due to the rise of video communication and streaming services. While many …

Frequency aliasing in the digital capture of display screens leads to the moiré pattern,
appearing as stripe-shaped distortions in images. Efforts to demoiréing have been made …

As the quality of mobile cameras starts to play a crucial role in modern smartphones, more
and more attention is now being paid to ISP algorithms used to improve various perceptual …

Depth estimation is an important computer vision problem with many practical applications
to mobile devices. While many solutions have been proposed for this task, they are usually …

Learning RAW-to-sRGB mapping has drawn increasing attention in recent years, wherein
an input raw image is trained to imitate the target sRGB image captured by another camera …

Various depth estimation models are now widely used on many mobile and IoT devices for
image segmentation, bokeh effect rendering, object tracking and many other mobile tasks …