:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Zhichao, Li, Leida, Chen, Pengfei, Wu, Jinjian, Valenzise, Giuseppe
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2503.02206
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
by: Li, Aobo, et al.
Published: (2024)

Fine-grained Image Quality Assessment for Perceptual Image Restoration
by: Sheng, Xiangfei, et al.
Published: (2025)

TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
by: Sheng, Xiangfei, et al.
Published: (2025)

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
by: Huang, Yipo, et al.
Published: (2024)

AesExpert: Towards Multi-modality Foundation Model for Image Aesthetics Perception
by: Huang, Yipo, et al.
Published: (2024)

Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks
by: Yang, Zhichao, et al.
Published: (2026)

LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotations
by: Yang, Zhichao, et al.
Published: (2025)

Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions
by: Li, Aobo, et al.
Published: (2026)

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity
by: Xia, Jili, et al.
Published: (2024)

Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment
by: Liu, Yongxu, et al.
Published: (2024)

Investigate the Low-level Visual Perception in Vision-Language based Image Quality Assessment
by: Li, Yuan, et al.
Published: (2025)

Decoupling Perception and Calibration: Label-Efficient Image Quality Assessment Framework
by: Li, Xinyue, et al.
Published: (2026)

Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment
by: Wang, Zhaoyang, et al.
Published: (2024)

Guiding Perception-Reasoning Closer to Human in Blind Image Quality Assessment
by: Li, Yuan, et al.
Published: (2025)

Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation
by: Li, Yixuan, et al.
Published: (2024)

HyperAlign: Hyperbolic Entailment Cones for Adaptive Text-to-Image Alignment Assessment
by: Chen, Wenzhi, et al.
Published: (2026)

RAVE: Rate-Adaptive Visual Encoding for 3D Gaussian Splatting
by: Tran, Hoang-Nhat, et al.
Published: (2025)

Visually-Guided Controllable Medical Image Generation via Fine-Grained Semantic Disentanglement
by: Huang, Xin, et al.
Published: (2026)

Content-Adaptive Image Retouching Guided by Attribute-Based Text Representation
by: Zhu, Hancheng, et al.
Published: (2025)

DPC-VQA: Decoupling Quality Perception and Residual Calibration for Video Quality Assessment
by: Li, Xinyue, et al.
Published: (2026)

Generative Models at the Frontier of Compression: A Survey on Generative Face Video Coding
by: Chen, Bolin, et al.
Published: (2025)

Large Multi-modality Model Assisted AI-Generated Image Quality Assessment
by: Wang, Puyi, et al.
Published: (2024)

Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
by: Yan, Jiebin, et al.
Published: (2026)

AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
by: Li, Chunyi, et al.
Published: (2024)

Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption
by: Chen, Du, et al.
Published: (2025)

DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation
by: He, Jing, et al.
Published: (2024)

Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving
by: Zhang, Ce, et al.
Published: (2024)

Visual-Language Model Knowledge Distillation Method for Image Quality Assessment
by: Hou, Yongkang, et al.
Published: (2025)

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment
by: Li, Qiang, et al.
Published: (2025)

Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach
by: Zhang, Zhi, et al.
Published: (2025)

UniCustom: Unified Visual Conditioning for Multi-Reference Image Generation
by: Xu, Yiyan, et al.
Published: (2026)

Enhancing Image Aesthetics with Dual-Conditioned Diffusion Models Guided by Multimodal Perception
by: Nan, Xinyu, et al.
Published: (2026)

AI-generated Image Quality Assessment in Visual Communication
by: Tian, Yu, et al.
Published: (2024)

Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Content
by: Venkataramanan, Abhinau K., et al.
Published: (2024)

Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality Assessment
by: Zhao, Shijie, et al.
Published: (2025)

A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
by: Wu, Tianhe, et al.
Published: (2024)

Preference-Guided Debiasing for No-Reference Enhancement Image Quality Assessment
by: Gao, Shiqi, et al.
Published: (2026)

Q-Tacit: Image Quality Assessment via Latent Visual Reasoning
by: Jiang, Yuxuan, et al.
Published: (2026)

Exploring Instruction Data Quality for Explainable Image Quality Assessment
by: Li, Yunhao, et al.
Published: (2025)

ViDA-UGC: Detailed Image Quality Analysis via Visual Distortion Assessment for UGC Images
by: Liao, Wenjie, et al.
Published: (2025)