240 citations · 1.3k across the 195 of their papers we have counts for
26 papers · 1 filter
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Haoning Wu, Zicheng Zhang, Weixia Zhang +11
The explosion of visual content available online underscores the requirement for an accurate machine assessor to robustly evaluate scores across diverse types of visual contents. W…
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…
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,…
Audio-visual Saliency for Omnidirectional Videos
Yuxin Zhu, Xilei Zhu, Huiyu Duan +6
Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV renderi…
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…
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…
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals
Xilei Zhu, Huiyu Duan, Yuqin Cao +6
Omnidirectional videos (ODVs) play an increasingly important role in the application fields of medical, education, advertising, tourism, etc. Assessing the quality of ODVs is signi…
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…
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence
Jiarui Wang, Huiyu Duan, Jing Liu +3
In this paper, in order to get a better understanding of the human visual preferences for AIGIs, a large-scale IQA database for AIGC is established, which is named as AIGCIQA2023.…
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…
Masked Autoencoders as Image Processors
Huiyu Duan, Wei Shen, Xiongkuo Min +4
Transformers have shown significant effectiveness for various vision tasks including both high-level vision and low-level vision. Recently, masked autoencoders (MAE) for feature pr…
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…