Xiongkuo Min
- Papers
- 22
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Authored papers
22LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs
ICCV 2025
Redundancy Principles for MLLMs Benchmarks
arXiv 2025
Omni$^2$: Unifying Omnidirectional Image Generation and Editing in an Omni Model
arXiv 2025
Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content
CVPR 2025 1
R-Bench: Are your Large Multimodal Model Robust to Real-world Corruptions?
arXiv 2024
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
arXiv 2024
Grounding-IQA: Multimodal Language Grounding Model for Image Quality Assessment
arXiv 2024
GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
arXiv 2024
THQA: A Perceptual Quality Assessment Database for Talking Heads
arXiv 2024
CMC-Bench: Towards a New Paradigm of Visual Signal Compression
arXiv 2024
Q-Refine: A Perceptual Quality Refiner for AI-Generated Image
arXiv 2024
Dual-Branch Network for Portrait Image Quality Assessment
arXiv 2024
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
arXiv 2024
Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model
arXiv 2024
A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
arXiv 2024
VQA$^2$: Visual Question Answering for Video Quality Assessment
arXiv 2024
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models
arXiv 2024
Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric
arXiv 2024
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
arXiv 2023
AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment
arXiv 2023
Exploring the Naturalness of AI-Generated Images
arXiv 2023
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence
arXiv 2023
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