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20212026
most citedA Deep Learning based No-reference Quality Assessment Model for UGC Videos

240 citations · 448 across the 92 of their papers we have counts for

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Showing 2023 · cs.CVShow all

18 papers · 2 filters

cs.CV2023

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…

cs.CV2023★ 9 cited

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…

cs.CV2023

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…

cs.CV2023

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,…

cs.CV2023★ 3 cited

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…

cs.CV2023

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.…