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Recent advancements in Multi-modality Large Language Models (MLLMs) have demonstrated remarkable capabilities in complex high-level vision tasks.
“Making a “completely blind” image quality analyzer,”
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik, · 2012
Earlier work this paper cites.
“A feature-enriched completely blind image quality evaluator,”
Lin Zhang, Lei Zhang, and Alan C Bovik, · 2015
Earlier work this paper cites.
“The konstanz natural video database (konvid-1k),”
Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tamás Szirányi, Shujun Li, and Dietmar Saupe, · 2017
Earlier work this paper cites.
“Quality assessment of in-the-wild videos,”
Dingquan Li, Tingting Jiang, and Ming Jiang, · 2019
Earlier work this paper cites.
“Quality assessment of in-the-wild videos,”
Dingquan Li, Tingting Jiang, and Ming Jiang, · 2019
Earlier work this paper cites.
“Kadid-10k: A large-scale artificially distorted iqa database,”
Hanhe Lin, Vlad Hosu, and Dietmar Saupe, · 2019
Earlier work this paper cites.
“Large-scale study of perceptual video quality,”
Zeina Sinno and Alan Conrad Bovik, · 2019
Earlier work this paper cites.
“Youtube ugc dataset for video compression research,”
Yilin Wang, Sasi Inguva, and Balu Adsumilli, · 2019
Earlier work this paper cites.
“Two-level approach for no-reference consumer video quality assessment,”
Jari Korhonen, · 2019
Earlier work this paper cites.
“Blind image quality assessment using a deep bilinear convolutional neural network,”
Weixia Zhang, Kede Ma, Jia Yan, Dexiang Deng, and Zhou Wang, · 2020
Earlier work this paper cites.
“Blindly assess image quality in the wild guided by a self-adaptive hyper network,”
Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, and Yanning Zhang, · 2020
Cited alongside, same era.
“Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment,”
Vlad Hosu, Hanhe Lin, Tamas Sziranyi, and Dietmar Saupe, · 2020
Cited alongside, same era.
“A no-reference evaluation metric for low-light image enhancement,”
Zicheng Zhang, Wei Sun, Xiongkuo Min, Wenhan Zhu, Tao Wang, Wei Lu, and Guangtao Zhai, · 2021
Cited alongside, same era.
“Musiq: Multi-scale image quality transformer,”
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang, · 2021
Cited alongside, same era.
“Ugc-vqa: Benchmarking blind video quality assessment for user generated content,”
Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, and Alan C. Bovik, · 2021
Cited alongside, same era.
“Q-bench: A benchmark for general-purpose foundation models on low-level vision,”
Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Annan Wang, Chunyi Li, Wenxiu Sun, Qiong Yan, Guangtao Zhai, and Weisi Lin, · 2023
Closest in time.
“Q-instruct: Improving low-level visual abilities for multi-modality foundation models,” 2023
Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Annan Wang, Kaixin Xu, Chunyi Li, Jingwen Hou, Guangtao Zhai, Geng Xue, Wenxiu Sun, Qiong Yan, and Weisi Lin, · 2023
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“Exploring clip for assessing the look and feel of images,”
Jianyi Wang, Kelvin CK Chan, and Chen Change Loy, · 2023
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“Towards explainable in-the-wild video quality assessment: a database and a language-prompted approach,”
Haoning Wu, Erli Zhang, Liang Liao, Chaofeng Chen, Jingwen Hou, Annan Wang, Wenxiu Sun, Qiong Yan, and Weisi Lin, · 2023
Closest in time.
“Neighbourhood representative sampling for efficient end-to-end video quality assessment,” 2023
Haoning Wu, Chaofeng Chen, Liang Liao, Jingwen Hou, Wenxiu Sun, Qiong Yan, Jinwei Gu, and Weisi Lin, · 2023
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Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, and Weisi Lin, · 2022
Cited alongside, same era.
“Exploring the effectiveness of video perceptual representation in blind video quality assessment,”
Liang Liao, Kangmin Xu, Haoning Wu, Chaofeng Chen, Wenxiu Sun, Qiong Yan, and Weisi Lin, · 2022
Cited alongside, same era.
“Exploring video quality assessment on user generated contents from aesthetic and technical perspectives,”
Haoning Wu, Erli Zhang, Liang Liao, Chaofeng Chen, Jingwen Hou, Annan Wang, Wenxiu Sun, Qiong Yan, and Weisi Lin, · 2023
Cited alongside, same era.
“Md-vqa: Multi-dimensional quality assessment for ugc live videos,”
Zicheng Zhang, Wei Wu, Wei Sun, Danyang Tu, Wei Lu, Xiongkuo Min, Ying Chen, and Guangtao Zhai, · 2023
Cited alongside, same era.
Closest in time.
“Discovqa: Temporal distortion-content transformers for video quality assessment,”
Haoning Wu, Chaofeng Chen, Liang Liao, Jingwen Hou, Wenxiu Sun, Qiong Yan, and Weisi Lin, · 2023
Closest in time.
“Exploring opinion-unaware video quality assessment with semantic affinity criterion,”
Haoning Wu, Liang Liao, Chaofeng Chen, Jingwen Hou Hou, Erli Zhang, Annan Wang, Wenxiu Sun, Qiong Yan, and Weisi Lin, · 2023
Closest in time.
“Subjective and objective quality assessment for in-the-wild computer graphics images,”
Zicheng Zhang et al., · 2023
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“mplug-owl: Modularization empowers large language models with multimodality,” 2023
Qinghao Ye et al., · 2023
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