3 citations · 3 across the 3 of their papers we have counts for
4 papers
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…
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning
Weiling Chen, Rongfu Lin, Honggang Liao +3
The widespread image applications have greatly promoted the vision-based tasks, in which the Image Quality Assessment (IQA) technique has become an increasingly significant issue.…
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
Ke Gu, Dacheng Tao, Junfei Qiao +1
In this paper we investigate into the problem of image quality assessment (IQA) and enhancement via machine learning. This issue has long attracted a wide range of attention in com…
Prediction of the Influence of Navigation Scan-path on Perceived Quality of Free-Viewpoint Videos
Suiyi Ling, Jesús Gutiérrez, Gu Ke +1
Free-Viewpoint Video (FVV) systems allow the viewers to freely change the viewpoints of the scene. In such systems, view synthesis and compression are the two main sources of artif…