240 citations · 1.3k across the 195 of their papers we have counts for
25 papers · 1 filter
Surveillance Facial Image Quality Assessment: A Multi-dimensional Dataset and Lightweight Model
Yanwei Jiang, Wei Sun, Yingjie Zhou +8
Surveillance facial images are often captured under unconstrained conditions, resulting in severe quality degradation due to factors such as low resolution, motion blur, occlusion,…
DLADiff: A Dual-Layer Defense Framework against Fine-Tuning and Zero-Shot Customization of Diffusion Models
Jun Jia, Hongyi Miao, Yingjie Zhou +8
With the rapid advancement of diffusion models, a variety of fine-tuning methods have been developed, enabling high-fidelity image generation with high similarity to the target con…
CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
Wei Sun, Linhan Cao, Kang Fu +5
Video compression is a standard procedure applied to all videos to minimize storage and transmission demands while preserving visual quality as much as possible. Therefore, evaluat…
ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge
Yixu Chen, Bowen Chen, Hai Wei +16
This paper reports IEEE International Conference on Multimedia \& Expo (ICME) 2025 Grand Challenge on Generalizable HDR and SDR Video Quality Measurement. With the rapid developmen…
Exploring Image Quality Assessment from a New Perspective: Pupil Size
Yixuan Gao, Xiongkuo Min, Guangtao Zhai
This paper explores how the image quality assessment (IQA) task affects the cognitive processes of people from the perspective of pupil size and studies the relationship between pu…
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
Xin Li, Kun Yuan, Bingchen Li +110
This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement. The challenge comprises two tracks: (i) Efficient Video Qualit…
Video Quality Assessment: A Comprehensive Survey
Qi Zheng, Yibo Fan, Leilei Huang +8
Video quality assessment (VQA) is an important processing task, aiming at predicting the quality of videos in a manner highly consistent with human judgments of perceived quality.…
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results
Ivan Molodetskikh, Artem Borisov, Dmitriy Vatolin +24
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 E…
3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents
Yingjie Zhou, Zicheng Zhang, Farong Wen +5
Although 3D generated content (3DGC) offers advantages in reducing production costs and accelerating design timelines, its quality often falls short when compared to 3D professiona…
SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression
Linhan Cao, Wei Sun, Xiongkuo Min +8
Just noticeable distortion (JND), representing the threshold of distortion in an image that is minimally perceptible to the human visual system (HVS), is crucial for image compress…
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova +29
Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of…
UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content
Yuqin Cao, Xiongkuo Min, Yixuan Gao +3
As multimedia data flourishes on the Internet, quality assessment (QA) of multimedia data becomes paramount for digital media applications. Since multimedia data includes multiple…
Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
Wei Sun, Linhan Cao, Jun Jia +4
Blind video quality assessment (BVQA) is a highly challenging task due to the intrinsic complexity of video content and visual distortions, especially given the high popularity of…
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
Xin Li, Kun Yuan, Yajing Pei +65
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…
Perceptual Quality Assessment for Video Frame Interpolation
Jinliang Han, Xiongkuo Min, Yixuan Gao +5
The quality of frames is significant for both research and application of video frame interpolation (VFI). In recent VFI studies, the methods of full-reference image quality assess…
Advancing Zero-Shot Digital Human Quality Assessment through Text-Prompted Evaluation
Zicheng Zhang, Wei Sun, Yingjie Zhou +6
Digital humans have witnessed extensive applications in various domains, necessitating related quality assessment studies. However, there is a lack of comprehensive digital human q…
VDPVE: VQA Dataset for Perceptual Video Enhancement
Yixuan Gao, Yuqin Cao, Tengchuan Kou +5
Recently, many video enhancement methods have been proposed to improve video quality from different aspects such as color, brightness, contrast, and stability. Therefore, how to ev…
Audio-Visual Quality Assessment for User Generated Content: Database and Method
Yuqin Cao, Xiongkuo Min, Wei Sun +2
With the explosive increase of User Generated Content (UGC), UGC video quality assessment (VQA) becomes more and more important for improving users' Quality of Experience (QoE). Ho…
A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps
Zicheng Zhang, Wei Sun, Xiongkuo Min +4
To support the application scenarios where high-resolution (HR) images are urgently needed, various single image super-resolution (SISR) algorithms are developed. However, SISR is…
A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences
Yu Fan, Zicheng Zhang, Wei Sun +5
Point cloud is one of the most widely used digital formats of 3D models, the visual quality of which is quite sensitive to distortions such as downsampling, noise, and compression.…
Parameterized Image Quality Score Distribution Prediction
Yixuan Gao, Xiongkuo Min, Wenhan Zhu +2
Recently, image quality has been generally describedby a mean opinion score (MOS). However, we observe that thequality scores of an image given by a group of subjects are verysubje…
Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution
Kaiwei Zhang
Hyperspectral image (HSI) super-resolution without additional auxiliary image remains a constant challenge due to its high-dimensional spectral patterns, where learning an effectiv…
Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos
Wei Sun, Tao Wang, Xiongkuo Min +2
In this paper, we propose a deep learning based video quality assessment (VQA) framework to evaluate the quality of the compressed user's generated content (UGC) videos. The propos…
A multiple attributes image quality database for smartphone camera photo quality assessment
Wenhan Zhu, Guangtao Zhai, Zongxi Han +4
Smartphone is the superstar product in digital device market and the quality of smartphone camera photos (SCPs) is becoming one of the dominant considerations when consumers purcha…