Image de couverture de livre

VITAL: Vision-Encoder-centered Pre-training for LMMs in Visual Quality Assessment

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jia, Ziheng, Cao, Linhan, Han, Jinliang, Zhang, Zicheng, Qian, Jiaying, Wang, Jiarui, Chen, Zijian, Zhai, Guangtao, Min, Xiongkuo
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Explainable Partial-AIGC Image Quality Assessment
par: Qian, Jiaying, et autres
Publié: (2025)

Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
par: Jia, Ziheng, et autres
Publié: (2025)

Teaching LMMs for Image Quality Scoring and Interpreting
par: Zhang, Zicheng, et autres
Publié: (2025)

Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
par: Sun, Wei, et autres
Publié: (2024)

Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs
par: Zhang, Zicheng, et autres
Publié: (2024)

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs
par: Wang, Juntong, et autres
Publié: (2025)

Enhancing Image Quality Assessment Ability of LMMs via Retrieval-Augmented Generation
par: Fu, Kang, et autres
Publié: (2026)

VQA$^2$: Visual Question Answering for Video Quality Assessment
par: Jia, Ziheng, et autres
Publié: (2024)

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation
par: Sun, Wei, et autres
Publié: (2025)

Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency
par: Sun, Wei, et autres
Publié: (2024)

Quality Assessment for AI Generated Images with Instruction Tuning
par: Wang, Jiarui, et autres
Publié: (2024)

XGC-AVis: Towards Audio-Visual Content Understanding with a Multi-Agent Collaborative System
par: Cao, Yuqin, et autres
Publié: (2025)

DyCoRM: Dynamic Criterion-Aware Reward Modeling for Text-to-Image Generation
par: Qian, Jiaying, et autres
Publié: (2026)

LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs
par: Wang, Jiarui, et autres
Publié: (2025)

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
par: Chen, Zijian, et autres
Publié: (2024)

Audio-Visual Quality Assessment for User Generated Content: Database and Method
par: Cao, Yuqin, et autres
Publié: (2023)

A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
par: Zhang, Zicheng, et autres
Publié: (2024)

fMRI Exploration of Visual Quality Assessment
par: Zhang, Yiming, et autres
Publié: (2024)

Exploring Image Quality Assessment from a New Perspective: Pupil Size
par: Gao, Yixuan, et autres
Publié: (2025)

AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
par: Cao, Yuqin, et autres
Publié: (2025)

CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
par: Sun, Wei, et autres
Publié: (2025)

Generalizable Video Quality Assessment via Weak-to-Strong Learning
par: Cao, Linhan, et autres
Publié: (2025)

QualiRAG: Retrieval-Augmented Generation for Visual Quality Understanding
par: Cao, Linhan, et autres
Publié: (2026)

TIT-Score: Evaluating Long-Prompt Based Text-to-Image Alignment via Text-to-Image-to-Text Consistency
par: Wang, Juntong, et autres
Publié: (2025)

VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning
par: Cao, Linhan, et autres
Publié: (2025)

Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and Model
par: Fu, Kang, et autres
Publié: (2025)

UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content
par: Cao, Yuqin, et autres
Publié: (2024)

Scaling-up Perceptual Video Quality Assessment
par: Jia, Ziheng, et autres
Publié: (2025)

GeoR-Bench: Evaluating Geoscience Visual Reasoning
par: Zheng, Yushuo, et autres
Publié: (2026)

IllusionBench+: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models
par: Zhang, Yiming, et autres
Publié: (2025)

GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs
par: Zhu, Xiaorong, et autres
Publié: (2025)

AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM
par: Wang, Jiarui, et autres
Publié: (2024)

Large Multi-modality Model Assisted AI-Generated Image Quality Assessment
par: Wang, Puyi, et autres
Publié: (2024)

Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy
par: Sun, Yinan, et autres
Publié: (2025)

3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents
par: Zhou, Yingjie, et autres
Publié: (2024)

Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads
par: Zhou, Yingjie, et autres
Publié: (2025)

Perceptual Video Quality Assessment: A Survey
par: Min, Xiongkuo, et autres
Publié: (2024)

Image Quality Assessment: From Human to Machine Preference
par: Li, Chunyi, et autres
Publié: (2025)

ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images
par: Zhu, Xilei, et autres
Publié: (2024)

LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMs
par: Xu, Zitong, et autres
Publié: (2025)