Cover Image

VQA$^2$: Visual Question Answering for Video Quality Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Ziheng, Zhang, Zicheng, Qian, Jiaying, Wu, Haoning, Sun, Wei, Li, Chunyi, Liu, Xiaohong, Lin, Weisi, Zhai, Guangtao, Min, Xiongkuo
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs
by: Zhang, Zicheng, et al.
Published: (2024)

Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment
by: Kou, Tengchuan, et al.
Published: (2024)

LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM
by: Zhang, Zicheng, et al.
Published: (2024)

Teaching LMMs for Image Quality Scoring and Interpreting
by: Zhang, Zicheng, et al.
Published: (2025)

Towards Explainable Partial-AIGC Image Quality Assessment
by: Qian, Jiaying, et al.
Published: (2025)

Image Quality Assessment: From Human to Machine Preference
by: Li, Chunyi, et al.
Published: (2025)

Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance
by: Zhou, Xunchu, et al.
Published: (2024)

Explore the Hallucination on Low-level Perception for MLLMs
by: Sun, Yinan, et al.
Published: (2024)

GMS-3DQA: Projection-based Grid Mini-patch Sampling for 3D Model Quality Assessment
by: Zhang, Zicheng, et al.
Published: (2023)

CMC-Bench: Towards a New Paradigm of Visual Signal Compression
by: Li, Chunyi, et al.
Published: (2024)

Q-Refine: A Perceptual Quality Refiner for AI-Generated Image
by: Li, Chunyi, et al.
Published: (2024)

VITAL: Vision-Encoder-centered Pre-training for LMMs in Visual Quality Assessment
by: Jia, Ziheng, et al.
Published: (2025)

A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
by: Zhang, Zicheng, et al.
Published: (2024)

Scaling-up Perceptual Video Quality Assessment
by: Jia, Ziheng, et al.
Published: (2025)

Dual-Branch Network for Portrait Image Quality Assessment
by: Sun, Wei, et al.
Published: (2024)

Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
by: Jia, Ziheng, et al.
Published: (2025)

Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
by: Sun, Wei, et al.
Published: (2024)

R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?
by: Li, Chunyi, et al.
Published: (2024)

LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models
by: Ge, Qihang, et al.
Published: (2024)

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

Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and Model
by: Fu, Kang, et al.
Published: (2025)

UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content
by: Cao, Yuqin, et al.
Published: (2024)

G-Refine: A General Quality Refiner for Text-to-Image Generation
by: Li, Chunyi, et al.
Published: (2024)

CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
by: Sun, Wei, et al.
Published: (2025)

RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment
by: Jin, Jianing, et al.
Published: (2025)

Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs
by: Zhang, Zicheng, et al.
Published: (2024)

Perceptual Video Quality Assessment: A Survey
by: Min, Xiongkuo, et al.
Published: (2024)

DyCoRM: Dynamic Criterion-Aware Reward Modeling for Text-to-Image Generation
by: Qian, Jiaying, et al.
Published: (2026)

Towards Open-ended Visual Quality Comparison
by: Wu, Haoning, et al.
Published: (2024)

Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model
by: Zhang, Zhichao, et al.
Published: (2024)

Audio-Visual Quality Assessment for User Generated Content: Database and Method
by: Cao, Yuqin, et al.
Published: (2023)

IllusionBench+: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models
by: Zhang, Yiming, et al.
Published: (2025)

Using GUI Agent for Electronic Design Automation
by: Li, Chunyi, et al.
Published: (2025)

THQA: A Perceptual Quality Assessment Database for Talking Heads
by: Zhou, Yingjie, et al.
Published: (2024)

MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
by: Li, Chunyi, et al.
Published: (2024)

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
by: Chen, Zijian, et al.
Published: (2024)

HazeCLIP: Towards Language Guided Real-World Image Dehazing
by: Wang, Ruiyi, et al.
Published: (2024)

PuzzleBench: A Fully Dynamic Evaluation Framework for Large Multimodal Models on Puzzle Solving
by: Zhang, Zeyu, et al.
Published: (2025)

3DGCQA: A Quality Assessment Database for 3D AI-Generated Contents
by: Zhou, Yingjie, et al.
Published: (2024)

Image Quality Assessment for Embodied AI
by: Li, Chunyi, et al.
Published: (2025)