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 …

Video Frame Interpolation (VFI) is a fascinating and challenging problem in the computer
vision (CV) field, aiming to generate non-existing frames between two consecutive video …

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 …

DNN-based frame interpolation--that generates the intermediate frames given two
consecutive frames--typically relies on heavy model architectures with a huge number of …

With the prosperity of digital video industry, video frame interpolation has arisen continuous
attention in computer vision community and become a new upsurge in industry. Many …

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 …

We review the AIM 2020 challenge on virtual image relighting and illumination estimation.
This paper presents the novel VIDIT dataset used in the challenge and the different …

This paper introduces the real image Super-Resolution (SR) challenge that was part of the
Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This …

Super-Resolution (SR) is a fundamental computer vision task that aims to obtain a high-
resolution clean image from the given low-resolution counterpart. This paper reviews the …

This paper reviews the second AIM realistic bokeh effect rendering challenge and provides
the description of the proposed solutions and results. The participating teams were solving a …