240 citations · 805 across the 94 of their papers we have counts for
21 papers · 1 filter
Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models
Zicheng Zhang, Haoning Wu, Zhongpeng Ji +9
Recent advancements in Multi-modality Large Language Models (MLLMs) have demonstrated remarkable capabilities in complex high-level vision tasks. However, the exploration of MLLM p…
Exploring the Naturalness of AI-Generated Images
Zijian Chen, Wei Sun, Haoning Wu +8
The proliferation of Artificial Intelligence-Generated Images (AGIs) has greatly expanded the Image Naturalness Assessment (INA) problem. Different from early definitions that main…
FS-BAND: A Frequency-Sensitive Banding Detector
Zijian Chen, Wei Sun, Zicheng Zhang +5
Banding artifact, as known as staircase-like contour, is a common quality annoyance that happens in compression, transmission, etc. scenarios, which largely affects the user's qual…
BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment
Zijian Chen, Wei Sun, Jun Jia +6
Banding, also known as staircase-like contours, frequently occurs in flat areas of images/videos processed by the compression or quantization algorithms. As undesirable artifacts,…
Simple Baselines for Projection-based Full-reference and No-reference Point Cloud Quality Assessment
Zicheng Zhang, Yingjie Zhou, Wei Sun +2
Point clouds are widely used in 3D content representation and have various applications in multimedia. However, compression and simplification processes inevitably result in the lo…
A No-Reference Quality Assessment Method for Digital Human Head
Yingjie Zhou, Zicheng Zhang, Wei Sun +3
In recent years, digital humans have been widely applied in augmented/virtual reality (A/VR), where viewers are allowed to freely observe and interact with the volumetric content.…
Geometry-Aware Video Quality Assessment for Dynamic Digital Human
Zicheng Zhang, Yingjie Zhou, Wei Sun +2
Dynamic Digital Humans (DDHs) are 3D digital models that are animated using predefined motions and are inevitably bothered by noise/shift during the generation process and compress…
Joint Gaze-Location and Gaze-Object Detection
Danyang Tu, Wei Shen, Wei Sun +2
This paper proposes an efficient and effective method for joint gaze location detection (GL-D) and gaze object detection (GO-D), \emph{i.e.}, gaze following detection. Current appr…
Agglomerative Transformer for Human-Object Interaction Detection
Danyang Tu, Wei Sun, Guangtao Zhai +1
We propose an agglomerative Transformer (AGER) that enables Transformer-based human-object interaction (HOI) detectors to flexibly exploit extra instance-level cues in a single-sta…
StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability
Tengchuan Kou, Xiaohong Liu, Wei Sun +4
Video shakiness is an unpleasant distortion of User Generated Content (UGC) videos, which is usually caused by the unstable hold of cameras. In recent years, many video stabilizati…
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
Xiaohong Liu, Xiongkuo Min, Wei Sun +69
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement W…
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…
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
Wei Sun, Wen Wen, Xiongkuo Min +3
Blind video quality assessment (BVQA) plays an indispensable role in monitoring and improving the end-users' viewing experience in various real-world video-enabled media applicatio…
AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment
Chunyi Li, Zicheng Zhang, Haoning Wu +5
With the rapid advancements of the text-to-image generative model, AI-generated images (AGIs) have been widely applied to entertainment, education, social media, etc. However, cons…
GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment
Zicheng Zhang, Wei Sun, Houning Wu +5
Nowadays, most 3D model quality assessment (3DQA) methods have been aimed at improving performance. However, little attention has been paid to the computational cost and inference…
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos
Zicheng Zhang, Wei Wu, Wei Sun +5
User-generated content (UGC) live videos are often bothered by various distortions during capture procedures and thus exhibit diverse visual qualities. Such source videos are furth…
A Perceptual Quality Assessment Exploration for AIGC Images
Zicheng Zhang, Chunyi Li, Wei Sun +3
\underline{AI} \underline{G}enerated \underline{C}ontent (\textbf{AIGC}) has gained widespread attention with the increasing efficiency of deep learning in content creation. AIGC,…
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…
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images
Zicheng Zhang, Wei Sun, Yingjie Zhou +5
Computer graphics images (CGIs) are artificially generated by means of computer programs and are widely perceived under various scenarios, such as games, streaming media, etc. In p…
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…
EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment
Zicheng Zhang, Wei Sun, Yingjie Zhou +4
Currently, great numbers of efforts have been put into improving the effectiveness of 3D model quality assessment (3DQA) methods. However, little attention has been paid to the com…