AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results
Abstract
This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. The task of this challenge was to develop an objective QA method for videos upscaled 2 $\times $ × and 4 $\times $ × by modern image- and video-SR algorithms. QA methods were evaluated by comparing their output with aggregate subjective scores collected from >150,000 pairwise votes obtained through crowd-sourced comparisons across 52 SR methods and 1124 upscaled videos. The goal was to advance the state-of-the-art in SR QA, which had proven to be a challenging problem with limited applicability of traditional QA methods. The challenge had 29 registered participants, and 5 teams had submitted their final results, all outperforming the current state-of-the-art. All data, including the private test subset, has been made publicly available on the challenge homepage at https://challenges.videoprocessing.ai/challenges/super-resolution-metrics-challenge.html .
Cite
Text
Molodetskikh et al. "AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91856-8_10Markdown
[Molodetskikh et al. "AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/molodetskikh2024eccvw-aim/) doi:10.1007/978-3-031-91856-8_10BibTeX
@inproceedings{molodetskikh2024eccvw-aim,
title = {{AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results}},
author = {Molodetskikh, Ivan and Borisov, Artem and Vatolin, Dmitriy S. and Timofte, Radu and Liu, Jianzhao and Zhi, Tianwu and Zhang, Yabin and Li, Yang and Xu, Jingwen and Liao, Yiting and Luo, Qing and Zhang, Ao-Xiang and Zhang, Peng and Lei, Haibo and Jiang, Linyan and Li, Yaqing and Cao, Yuqin and Sun, Wei and Zhang, Weixia and Sun, Yinan and Jia, Ziheng and Zhu, Yuxin and Min, Xiongkuo and Zhai, Guangtao and Luo, Weihua and Zhang, Yupeng and Yi, Hong},
booktitle = {European Conference on Computer Vision Workshops},
year = {2024},
pages = {160-177},
doi = {10.1007/978-3-031-91856-8_10},
url = {https://mlanthology.org/eccvw/2024/molodetskikh2024eccvw-aim/}
}