In this paper, we summarize the 1st NTIRE challenge on stereo image super-resolution (restoration of rich details in a pair of low-resolution stereo images) with a focus on new solutions and results. This challenge has 1 track aiming at the stereo image super-resolution problem under a standard bicubic degradation. In total, 238 participants were successfully registered, and 21 teams competed in the final testing phase. Among those participants, 20 teams successfully submitted results with PSNR (RGB) scores better than the baseline. This challenge establishes a new benchmark for stereo image SR
Super-Resolution reconstruction produces one or a set of high-resolution images from a sequence of l...
Image super-resolution (SR) is an important type of image processing technology for improving image ...
This problem addresses the problem of low-resolution image (noisy) that will proof later by PSNR num...
This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich det...
This paper reviewed the 3rd NTIRE challenge on single-image super-resolution (restoration of rich de...
This paper reviews the first challenge on single image super-resolution (restoration of rich details...
This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details ...
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the partic...
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on...
Stereo video super-resolution (SVSR) aims to enhance the spatial resolution of the low-resolution vi...
This paper reviews the first NTIRE challenge on perceptual image enhancement with the focus on propo...
This paper reviews the first NTIRE challenge on perceptual image enhancement with the focus on propo...
This paper reviews the AIM 2019 challenge on extreme image super-resolution, the problem of restorin...
We present a first attempt for stereoscopic image super-resolution (SR) for recovering high-resoluti...
Currently two evaluation methods of super-resolution (SR) techniques prevail: The objective Peak Sig...
Super-Resolution reconstruction produces one or a set of high-resolution images from a sequence of l...
Image super-resolution (SR) is an important type of image processing technology for improving image ...
This problem addresses the problem of low-resolution image (noisy) that will proof later by PSNR num...
This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich det...
This paper reviewed the 3rd NTIRE challenge on single-image super-resolution (restoration of rich de...
This paper reviews the first challenge on single image super-resolution (restoration of rich details...
This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details ...
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the partic...
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on...
Stereo video super-resolution (SVSR) aims to enhance the spatial resolution of the low-resolution vi...
This paper reviews the first NTIRE challenge on perceptual image enhancement with the focus on propo...
This paper reviews the first NTIRE challenge on perceptual image enhancement with the focus on propo...
This paper reviews the AIM 2019 challenge on extreme image super-resolution, the problem of restorin...
We present a first attempt for stereoscopic image super-resolution (SR) for recovering high-resoluti...
Currently two evaluation methods of super-resolution (SR) techniques prevail: The objective Peak Sig...
Super-Resolution reconstruction produces one or a set of high-resolution images from a sequence of l...
Image super-resolution (SR) is an important type of image processing technology for improving image ...
This problem addresses the problem of low-resolution image (noisy) that will proof later by PSNR num...