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20162026
most citedImage Quality Assessment: Unifying Structure and Texture Similarity

948 citations · 3k across the 36 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 1 cited

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…

cs.CV2023

Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization

Mu Li, Kanglong Fan, Kede Ma

Predicting human scanpaths when exploring panoramic videos is a challenging task due to the spherical geometry and the multimodality of the input, and the inherent uncertainty and…

cs.CV2023★ 3 cited

IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers

Ronghuan Wu, Wanchao Su, Kede Ma +1

Scalable Vector Graphics (SVG) is a popular vector image format that offers good support for interactivity and animation. Despite its appealing characteristics, creating custom SVG…

cs.CV2023

Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time

Wei Shang, Dongwei Ren, Yi Yang +3

Natural videos captured by consumer cameras often suffer from low framerate and motion blur due to the combination of dynamic scene complexity, lens and sensor imperfection, and le…

cs.CV2023★ 5 cited

Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

Weixia Zhang, Guangtao Zhai, Ying Wei +2

We aim at advancing blind image quality assessment (BIQA), which predicts the human perception of image quality without any reference information. We develop a general and automate…

cs.CV2023

Learning a Deep Color Difference Metric for Photographic Images

Haoyu Chen, Zhihua Wang, Yang Yang +2

Most well-established and widely used color difference (CD) metrics are handcrafted and subject-calibrated against uniformly colored patches, which do not generalize well to photog…