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Image Quality Assessment
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression
DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment
Text-Visual Semantic Constrained AI-Generated Image Quality Assessment
4KAgent: Agentic Any Image to 4K Super-Resolution
MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment
Enhanced Dermatology Image Quality Assessment via Cross-Domain Training
MetaQAP -- A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment
3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting
EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment
Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations
Digital twins enable full-reference quality assessment of photoacoustic image reconstructions
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment
Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment
MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database
Perceptual Quality Assessment for Embodied AI
Exploring Image Quality Assessment from a New Perspective: Pupil Size
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank
Semantically-Aware Game Image Quality Assessment
Hybrid Image Resolution Quality Metric (HIRQM):A Comprehensive Perceptual Image Quality Assessment Framework
HiLLIE: Human-in-the-Loop Training for Low-Light Image Enhancement
Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment
NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
Towards Explainable Partial-AIGC Image Quality Assessment
Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model
Multi-Marker Similarity enables reduced-reference and interpretable image quality assessment in optical microscopy
Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning
Q-Insight: Understanding Image Quality via Visual Reinforcement Learning
Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption
Image Quality Assessment: From Human to Machine Preference
Teaching LMMs for Image Quality Scoring and Interpreting
IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond
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