This paper reviews the AIM 2020 challenge on efficient single image super-resolution with
focus on the proposed solutions and results. The challenge task was to super-resolve an …

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 …

This work aims at designing a lightweight convolutional neural network for image super
resolution (SR). With simplicity bare in mind, we construct a pretty concise and effective …

This work aims to improve the applicability of diffusion models in realistic image restoration.
Specifically, we enhance the diffusion model in several aspects such as network …

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 …

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 …

We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed
solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge …

We propose BokehMe, a hybrid bokeh rendering framework that marries a neural renderer
with a classical physically motivated renderer. Given a single image and a potentially …

Neural Radiance Field (NeRF) and its variants have exhibited great success on
representing 3D scenes and synthesizing photo-realistic novel views. However, they are …