Cover Image

Subjective-Aligned Dataset and Metric for Text-to-Video Quality Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kou, Tengchuan, Liu, Xiaohong, Zhang, Zicheng, Li, Chunyi, Wu, Haoning, Min, Xiongkuo, Zhai, Guangtao, Liu, Ning
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

VQA$^2$: Visual Question Answering for Video Quality Assessment
by: Jia, Ziheng, et al.
Published: (2024)

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

Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content
by: Zhang, Zicheng, et al.
Published: (2025)

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

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images
by: Li, Yunhao, et al.
Published: (2025)

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

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

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

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

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

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

Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads
by: Zhou, Yingjie, et al.
Published: (2025)

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

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

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

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

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

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

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

AU-IQA: A Benchmark Dataset for Perceptual Quality Assessment of AI-Enhanced User-Generated Content
by: Wang, Shushi, et al.
Published: (2025)

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

Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric
by: Zhang, Zhichao, et al.
Published: (2024)

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

AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM
by: Wang, Jiarui, et al.
Published: (2024)

TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs
by: Wang, Juntong, et al.
Published: (2025)

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

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

Quality Assessment for AI Generated Images with Instruction Tuning
by: Wang, Jiarui, et al.
Published: (2024)

Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild
by: Min, Xiongkuo, et al.
Published: (2024)

Exploring Image Quality Assessment from a New Perspective: Pupil Size
by: Gao, Yixuan, et al.
Published: (2025)

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

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

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

VTONQA: A Multi-Dimensional Quality Assessment Dataset for Virtual Try-on
by: Wei, Xinyi, et al.
Published: (2026)

ESVQA: Perceptual Quality Assessment of Egocentric Spatial Videos
by: Zhu, Xilei, et al.
Published: (2024)

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

Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
by: Sun, Wei, et al.
Published: (2023)