Mar 14, 2023 · Computer graphics images (CGIs) are artificially generated by means of computer programs and are widely perceived under various scenarios, such ...
We propose an effective deep learning–based no-reference (NR) IQA model by utilizing both distortion and aesthetic quality representation.
Sep 6, 2024 · Computer graphics images (CGIs) are artificially generated by means of computer programs and are widely perceived under various scenarios, ...
[PDF] Subjective and Objective Quality Assessment for in-the-Wild ...
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Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images · Zicheng Zhang, Wei Sun, +5 authors. Guangtao Zhai · Published in ACM Trans.
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Official repo for 'Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics Images', accepted by ACM Transactions on Multimedia Computing, ...
Jun 10, 2022 · Abstract page for arXiv paper 2206.05008: Subjective Quality Assessment for Images Generated by Computer Graphics.
Missing: Objective | Show results with:Objective
The CGIQA-6k dataset is a large-scale, in-the-wild database for Computer Graphics Image Quality Assessment (CGIQA). It consists of 6,000 Computer Graphics ...
In this paper, subjective and objective IQA methods are integrated to evaluate the range of the image quality metrics (IQMs) values that guarantee the visually ...
Oct 28, 2024 · Subjective and objective quality assessment for in-the-wild computer graphics images. ACM Transactions on Multimedia Computing ...