Copertina

Q-Doc: Benchmarking Document Image Quality Assessment Capabilities in Multi-modal Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, Jiaxi, Wu, Dongxu, Zhu, Hanwei, Zhu, Lingyu, Xing, Jun, Wang, Xu, Chen, Baoliang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment
di: Chen, Baoliang, et al.
Pubblicazione: (2024)

Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment
di: Chen, Baoliang, et al.
Pubblicazione: (2022)

Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment
di: Liao, Zhicheng, et al.
Pubblicazione: (2025)

The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement
di: Huang, Danni, et al.
Pubblicazione: (2022)

EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos
di: Chen, Baoliang, et al.
Pubblicazione: (2026)

Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
di: Zhu, Hanwei, et al.
Pubblicazione: (2024)

Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement
di: Chen, Baoliang, et al.
Pubblicazione: (2023)

2AFC Prompting of Large Multimodal Models for Image Quality Assessment
di: Zhu, Hanwei, et al.
Pubblicazione: (2024)

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

Simple Lines, Big Ideas: Towards Interpretable Assessment of Human Creativity from Drawings
di: Lin, Zihao, et al.
Pubblicazione: (2025)

AgenticIQA: An Agentic Framework for Adaptive and Interpretable Image Quality Assessment
di: Zhu, Hanwei, et al.
Pubblicazione: (2025)

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models
di: Xia, Renqiu, et al.
Pubblicazione: (2024)

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

Plug In, Grade Right: Psychology-Inspired AGIQA
di: Liao, Zhicheng, et al.
Pubblicazione: (2025)

DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
di: Liao, Wenhui, et al.
Pubblicazione: (2024)

Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement
di: Zhu, Lingyu, et al.
Pubblicazione: (2024)

Benchmarking Corruption Robustness of LVLMs: A Discriminative Benchmark and Robustness Alignment Metric
di: Sui, Xiangjie, et al.
Pubblicazione: (2025)

RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement
di: Luo, Hao, et al.
Pubblicazione: (2024)

From Global to Granular: Revealing IQA Model Performance via Correlation Surface
di: Chen, Baoliang, et al.
Pubblicazione: (2026)

Q-Ground: Image Quality Grounding with Large Multi-modality Models
di: Chen, Chaofeng, et al.
Pubblicazione: (2024)

DocIQ: A Benchmark Dataset and Feature Fusion Network for Document Image Quality Assessment
di: Ma, Zhichao, et al.
Pubblicazione: (2025)

Enhancing Descriptive Image Quality Assessment with A Large-scale Multi-modal Dataset
di: You, Zhiyuan, et al.
Pubblicazione: (2024)

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

Q-DeepSight: Incentivizing Thinking with Images for Image Quality Assessment and Refinement
di: Li, Xudong, et al.
Pubblicazione: (2026)

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment
di: Gao, Junjie, et al.
Pubblicazione: (2025)

A Benchmark for Gaussian Splatting Compression and Quality Assessment Study
di: Yang, Qi, et al.
Pubblicazione: (2024)

PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment
di: Wang, Duanchu, et al.
Pubblicazione: (2026)

MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models
di: Wu, Siwei, et al.
Pubblicazione: (2024)

AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability
di: Zhao, Fei, et al.
Pubblicazione: (2024)

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
di: Xu, Weiye, et al.
Pubblicazione: (2025)

Q-Bench-Portrait: Benchmarking Multimodal Large Language Models on Portrait Image Quality Perception
di: Wu, Sijing, et al.
Pubblicazione: (2026)

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models
di: Wang, Jiarui, et al.
Pubblicazione: (2025)

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models
di: You, Zhiyuan, et al.
Pubblicazione: (2023)

Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessment
di: Fu, Jun, et al.
Pubblicazione: (2024)

4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding
di: Zhu, Wenxuan, et al.
Pubblicazione: (2025)

MosaicDoc: A Large-Scale Bilingual Benchmark for Visually Rich Document Understanding
di: Chen, Ketong, et al.
Pubblicazione: (2025)

Visual Object Tracking on Multi-modal RGB-D Videos: A Review
di: Zhu, Xue-Feng, et al.
Pubblicazione: (2022)

AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents
di: Wu, Jiaqi, et al.
Pubblicazione: (2026)

Unsupervised Ultra-High-Resolution UAV Low-Light Image Enhancement: A Benchmark, Metric and Framework
di: Lu, Wei, et al.
Pubblicazione: (2025)

Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement
di: Xiao, Kang, et al.
Pubblicazione: (2024)