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In the realm of media technology, digital humans have gained prominence due to rapid advancements in computer technology.
“Methodology for the subjective assessment of the quality of television pictures,”
RECOMMENDATION ITU-R BT, · 2002
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“A no-reference image blur metric based on the cumulative probability of blur detection (cpbd),”
Niranjan D Narvekar and Lina J Karam, · 2011
Earlier work this paper cites.
“No-reference image quality assessment in the spatial domain,”
Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik, · 2012
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“Making a “completely blind” image quality analyzer,”
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik, · 2012
Earlier work this paper cites.
“Blind prediction of natural video quality,”
Michele A Saad, Alan C Bovik, and Christophe Charrier, · 2014
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“A feature-enriched completely blind image quality evaluator,”
Lin Zhang, Lei Zhang, and Alan C Bovik, · 2015
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“A completely blind video integrity oracle,”
Anish Mittal, Michele A Saad, and Alan C Bovik, · 2015
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“Gans trained by a two time-scale update rule converge to a local nash equilibrium,”
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter, · 2017
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“Synthesizing obama: learning lip sync from audio,”
Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman, · 2017
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“A style-based generator architecture for generative adversarial networks,”
Tero Karras, Samuli Laine, and Timo Aila, · 2019
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“Two-level approach for no-reference consumer video quality assessment,”
Jari Korhonen, · 2019
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“Quality assessment of in-the-wild videos,”
Dingquan Li, Tingting Jiang, and Ming Jiang, · 2019
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“Makelttalk: speaker-aware talking-head animation,”
Yang Zhou, Xintong Han, Eli Shechtman, Jose Echevarria, Evangelos Kalogerakis, and Dingzeyu Li, · 2020
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“A lip sync expert is all you need for speech to lip generation in the wild,”
KR Prajwal, Rudrabha Mukhopadhyay, Vinay P Namboodiri, and CV Jawahar, · 2020
Cited alongside, same era.
“Audio2head: Audio-driven one-shot talking-head generation with natural head motion,”
Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, and Xin Yu, · 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.
“Rapique: Rapid and accurate video quality prediction of user generated content,”
Zhengzhong Tu, Xiangxu Yu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, and Alan C Bovik, · 2021
Cited alongside, same era.
“Videoretalking: Audio-based lip synchronization for talking head video editing in the wild,”
Kun Cheng, Xiaodong Cun, Yong Zhang, Menghan Xia, Fei Yin, Mingrui Zhu, Xuan Wang, Jue Wang, and Nannan Wang, · 2022
Cited alongside, same era.
“Sadtalker: Learning realistic 3d motion coefficients for stylized audio-driven single image talking face animation,”
Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, and Fei Wang, · 2023
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“Identity-preserving talking face generation with landmark and appearance priors,”
Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, and Guanbin Li, · 2023
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“Dreamtalk: When expressive talking head generation meets diffusion probabilistic models,”
Yifeng Ma, Shiwei Zhang, Jiayu Wang, Xiang Wang, Yingya Zhang, and Zhidong Deng, · 2023
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Zhimeng Zhang, Zhipeng Hu, Wenjin Deng, Changjie Fan, Tangjie Lv, and Yu Ding, · 2023
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“A no-reference quality assessment method for digital human head,”
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“A deep learning based no-reference quality assessment model for ugc videos,”
Wei Sun, Xiongkuo Min, Wei Lu, and Guangtao Zhai, · 2022
Cited alongside, same era.
“Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling,”
Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, and Weisi Lin, · 2022
Cited alongside, same era.
“Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception,”
Bowen Li, Weixia Zhang, Meng Tian, Guangtao Zhai, and Xianpei Wang, · 2022
Cited alongside, same era.
“Perceptual quality assessment for digital human heads,”
Zicheng Zhang, Yingjie Zhou, Wei Sun, Xiongkuo Min, Yuzhe Wu, and Guangtao Zhai, · 2023
Cited alongside, same era.
“Ddh-qa: A dynamic digital humans quality assessment database,”
Zicheng Zhang, Yingjie Zhou, Wei Sun, Wei Lu, Xiongkuo Min, Yu Wang, and Guangtao Zhai, · 2023
Cited alongside, same era.
“Advancing zero-shot digital human quality assessment through text-prompted evaluation,”
Zicheng Zhang, Wei Sun, Yingjie Zhou, Haoning Wu, Chunyi Li, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai, and Weisi Lin, · 2023
Cited alongside, same era.
“Subjective and objective quality assessment for in-the-wild computer graphics images,”
Zicheng Zhang, Wei Sun, Yingjie Zhou, Jun Jia, Zhichao Zhang, Jing Liu, Xiongkuo Min, and Guangtao Zhai, · 2023
Cited alongside, same era.
Yingjie Zhou, Zicheng Zhang, Wei Sun, Xiongkuo Min, Xianghe Ma, and Guangtao Zhai, · 2023
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“Geometry-aware video quality assessment for dynamic digital human,”
Zicheng Zhang, Yingjie Zhou, Wei Sun, Xiongkuo Min, and Guangtao Zhai, · 2023
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“A no-reference quality assessment metric for dynamic 3d digital human,”
Shi Chen, Zicheng Zhang, Yingjie Zhou, Wei Sun, and Xiongkuo Min, · 2023
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“Stablevqa: A deep no-reference quality assessment model for video stability,”
Tengchuan Kou, Xiaohong Liu, Wei Sun, Jun Jia, Xiongkuo Min, Guangtao Zhai, and Ning Liu, · 2023
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“Light-vqa: A multi-dimensional quality assessment model for low-light video enhancement,”
Yunlong Dong, Xiaohong Liu, Yixuan Gao, Xunchu Zhou, Tao Tan, and Guangtao Zhai, · 2023
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“Agiqa-3k: An open database for ai-generated image quality assessment,”
Chunyi Li, Zicheng Zhang, Haoning Wu, Wei Sun, Xiongkuo Min, Xiaohong Liu, Guangtao Zhai, and Weisi Lin, · 2023
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“Quality-of-experience evaluation for digital twins in 6g network environments,”
Zicheng Zhang, Yingjie Zhou, Long Teng, Wei Sun, Chunyi Li, Xiongkuo Min, Xiao-Ping Zhang, and Guangtao Zhai, · 2024
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“A reduced-reference quality assessment metric for textured mesh digital humans,”
Zicheng Zhang, Yingjie Zhou, Chunyi Li, Kang Fu, Wei Sun, Xiaohong Liu, Xiongkuo Min, and Guangtao Zhai, · 2024
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“Towards open-ended visual quality comparison,”
Haoning Wu, Hanwei Zhu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Chunyi Li, Annan Wang, Wenxiu Sun, Qiong Yan, et al., · 2024
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