most citedPIGUIQA: A Physical Imaging Guided Perceptual Framework for Underwater Image Quality Assessment

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CV2026

Image Quality Assessment: Exploring Quality Awareness via Memory-driven Distortion Patterns Matching

Xuting Lan, Mingliang Zhou, Xuekai Wei +5

Existing full-reference image quality assessment (FR-IQA) methods achieve high-precision evaluation by analysing feature differences between reference and distorted images. However…

cs.CV2026

RSHallu: Dual-Mode Hallucination Evaluation for Remote-Sensing Multimodal Large Language Models with Domain-Tailored Mitigation

Zihui Zhou, Yong Feng, Yanying Chen +4

Multimodal large language models (MLLMs) are increasingly adopted in remote sensing (RS) and have shown strong performance on tasks such as RS visual grounding (RSVG), RS visual qu…

cs.CV2026

Predict to Skip: Linear Multistep Feature Forecasting for Efficient Diffusion Transformers

Hanshuai Cui, Zhiqing Tang, Qianli Ma +3

Diffusion Transformers (DiT) have emerged as a widely adopted backbone for high-fidelity image and video generation, yet their iterative denoising process incurs high computational…

cs.CV2024

Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference

Wenhao Shen, Mingliang Zhou, Yu Chen +4

Existing full-reference image quality assessment (FR-IQA) methods often fail to capture the complex causal mechanisms that underlie human perceptual responses to image distortions,…

eess.IV2024★ 1 cited

PIGUIQA: A Physical Imaging Guided Perceptual Framework for Underwater Image Quality Assessment

Weizhi Xian, Mingliang Zhou, Leong Hou U +1

In this paper, we propose a Physical Imaging Guided perceptual framework for Underwater Image Quality Assessment (UIQA), termed PIGUIQA. First, we formulate UIQA as a comprehensive…