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20232026
most citedQ-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

33 citations · 52 across the 24 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CV2025

VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models: Methods and Results

Hanwei Zhu, Haoning Wu, Zicheng Zhang +26

This paper presents a summary of the VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Models (LMMs), hosted as part of the ICCV 2025 Workshop on Visual Quali…

cs.CV2025

VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results

Dasong Li, Sizhuo Ma, Hang Hua +40

This paper presents an overview of the VQualA 2025 Challenge on Engagement Prediction for Short Videos, held in conjunction with ICCV 2025. The challenge focuses on understanding a…

cs.CV2025

VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results

Sizhuo Ma, Wei-Ting Chen, Qiang Gao +56

Face images play a crucial role in numerous applications; however, real-world conditions frequently introduce degradations such as noise, blur, and compression artifacts, affecting…

cs.CV2025★ 1 cited

Engagement Prediction of Short Videos with Large Multimodal Models

Wei Sun, Linhan Cao, Yuqin Cao +7

The rapid proliferation of user-generated content (UGC) on short-form video platforms has made video engagement prediction increasingly important for optimizing recommendation syst…

cs.CV2025

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation

Wei Sun, Weixia Zhang, Linhan Cao +5

Face image quality assessment (FIQA) is essential for various face-related applications. Although FIQA has been extensively studied and achieved significant progress, the computati…

cs.CV2025

VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning

Linhan Cao, Wei Sun, Weixia Zhang +6

Video quality assessment (VQA) aims to objectively quantify perceptual quality degradation in alignment with human visual perception. Despite recent advances, existing VQA models s…

cs.CV2025

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results

Xiaohong Liu, Xiongkuo Min, Qiang Hu +92

This paper reports on the NTIRE 2025 XGC Quality Assessment Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) a…

cs.CV2025

NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results

Zheng Chen, Jingkai Wang, Kai Liu +51

This paper provides a review of the NTIRE 2025 challenge on real-world face restoration, highlighting the proposed solutions and the resulting outcomes. The challenge focuses on ge…