5 citations · 9 across the 5 of their papers we have counts for
6 papers · 1 filter
EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing
Zitong Xu, Huiyu Duan, Zhongpeng Ji +9
Recent text-guided image editing (TIE) models have achieved remarkable progress, while many edited images still suffer from issues such as artifacts, unexpected editings, unaesthet…
Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric
Zhichao Zhang, Wei Sun, Xinyue Li +9
AI-driven video generation techniques have made significant progress in recent years. However, AI-generated videos (AGVs) involving human activities often exhibit substantial visua…
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models
Qihang Ge, Wei Sun, Yu Zhang +6
The explosive growth of videos on streaming media platforms has underscored the urgent need for effective video quality assessment (VQA) algorithms to monitor and perceptually opti…
Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model
Zhichao Zhang, Wei Sun, Xinyue Li +9
In recent years, artificial intelligence (AI)-driven video generation has gained significant attention. Consequently, there is a growing need for accurate video quality assessment…
Dual-Branch Network for Portrait Image Quality Assessment
Wei Sun, Weixia Zhang, Yanwei Jiang +8
Portrait images typically consist of a salient person against diverse backgrounds. With the development of mobile devices and image processing techniques, users can conveniently ca…
Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models
Zicheng Zhang, Haoning Wu, Zhongpeng Ji +9
Recent advancements in Multi-modality Large Language Models (MLLMs) have demonstrated remarkable capabilities in complex high-level vision tasks. However, the exploration of MLLM p…