This paper presents a review of the NTIRE 2023 challenge on night photography rendering.
The goal of the challenge was to find solutions that process raw camera images taken in …

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 …

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 …

The increased importance of mobile photography created a need for fast and performant
RAW image processing pipelines capable of producing good visual results in spite of the …

The role of mobile cameras increased dramatically over the past few years, leading to more
and more research in automatic image quality enhancement and RAW photo processing. In …

Video super-resolution is one of the most popular tasks on mobile devices, being widely
used for an automatic improvement of low-bitrate and low-resolution video streams. While …

As mobile cameras with compact optics are unable to produce a strong bokeh effect, lots of
interest is now devoted to deep learning-based solutions for this task. In this Mobile AI …

Image restoration aims to restore high-quality images from degraded counterparts and has
seen significant advancements through deep learning techniques. The technique has been …

In modern smartphone cameras, the Image Signal Processor (ISP) is the core element that
converts the RAW readings from the sensor into perceptually pleasant RGB images for the …

ISP (Image Signal Processor) serves as a pipeline converting unprocessed raw images to
sRGB images, positioned before nearly all visual tasks. Due to the varying spectral …