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20232026
most citedEnhancing Blind Video Quality Assessment with Rich Quality-aware Features

6 citations · 28 across the 30 of their papers we have counts for

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Showing 2024 · cs.CVShow all

7 papers · 2 filters

cs.CV2024★ 1 cited

Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric

Zhichao Zhang, Wei Sun, Xinyue Li +9

AI-driven video generation techniques have made significant progress in recent years. However, AI-generated videos (AGVs) involving human activities often exhibit substantial visua…

cs.CV2024★ 5 cited

Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency

Wei Sun, Weixia Zhang, Yuqin Cao +6

UHD images, typically with resolutions equal to or higher than 4K, pose a significant challenge for efficient image quality assessment (IQA) algorithms, as adopting full-resolution…

cs.CV2024★ 1 cited

DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models

Yiwei Yang, Zheyuan Liu, Jun Jia +5

Traditional image steganography focuses on concealing one image within another, aiming to avoid steganalysis by unauthorized entities. Coverless image steganography (CIS) enhances…

cs.CV2024★ 2 cited

Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model

Zhichao Zhang, Wei Sun, Xinyue Li +9

In recent years, artificial intelligence (AI)-driven video generation has gained significant attention. Consequently, there is a growing need for accurate video quality assessment…

cs.CV2024★ 4 cited

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

Zijian Chen, Wei Sun, Yuan Tian +7

Assessing action quality is both imperative and challenging due to its significant impact on the quality of AI-generated videos, further complicated by the inherently ambiguous nat…

cs.CV2024★ 5 cited

Dual-Branch Network for Portrait Image Quality Assessment

Wei Sun, Weixia Zhang, Yanwei Jiang +8

Portrait images typically consist of a salient person against diverse backgrounds. With the development of mobile devices and image processing techniques, users can conveniently ca…

cs.CV2024

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results

Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman +33

This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based method…