7 citations · 17 across the 14 of their papers we have counts for
15 papers · 1 filter
LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative Models
Lu Liu, Huiyu Duan, Chenxin Zhu +6
Large-scale generative models have demonstrated remarkable capabilities across image generation and editing tasks. However, their performance in low-level vision tasks, which requi…
ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?
Liu Yang, Huiyu Duan, Ran Tao +6
Omnidirectional images (ODIs) provide full 360x180 view which are widely adopted in VR, AR and embodied intelligence applications. While multi-modal large language models (MLLMs) h…
RGC-VQA: An Exploration Database for Robotic-Generated Video Quality Assessment
Jianing Jin, Jiangyong Ying, Huiyu Duan +6
As camera-equipped robotic platforms become increasingly integrated into daily life, robotic-generated videos have begun to appear on streaming media platforms, enabling us to envi…
LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMs
Zitong Xu, Huiyu Duan, Bingnan Liu +9
The rapid advancement of Text-guided Image Editing (TIE) enables image modifications through text prompts. However, current TIE models still struggle to balance image quality, edit…
Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Images
Liu Yang, Huiyu Duan, Jiarui Wang +5
With the rapid advancement of Artificial Intelligence Generated Content (AIGC) techniques, AI generated images (AIGIs) have attracted widespread attention, among which AI generated…
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…