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cs.CV2025
Image Quality Assessment for Machines: Paradigm, Large-scale Database, and Models
Xiaoqi Wang, Yun Zhang, Weisi Lin
Machine vision systems (MVS) are intrinsically vulnerable to performance degradation under adverse visual conditions. To address this, we propose a machine-centric image quality as…
cs.CV2025
Deep Learning based Joint Geometry and Attribute Up-sampling for Large-Scale Colored Point Clouds
Yun Zhang, Feifan Chen, Na Li +4
Colored point cloud, which includes geometry and attribute components, is a mainstream representation enabling realistic and immersive 3D applications. To generate large-scale and…
cs.CV2024
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer
Xiaoqi Wang, Yun Zhang
Accurate measurement of image quality without reference signals remains a fundamental challenge in low-level visual perception applications. In this paper, we propose a global-loca…