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20192025
most citedLarge Multi-modality Model Assisted AI-Generated Image Quality Assessment

32 citations · 69 across the 9 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.IV2023★ 1 cited

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…

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

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★ 25 cited

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…

eess.IV2023

RAWIW: RAW Image Watermarking Robust to ISP Pipeline

Kang Fu, Xiaohong Liu, Jun Jia +4

Invisible image watermarking is essential for image copyright protection. Compared to RGB images, RAW format images use a higher dynamic range to capture the radiometric characteri…