PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Images

1 code implementation • 27 Nov 2023 • Jiquan Yuan, Xinyan Cao, Changjin Li, Fanyi Yang, Jinlong Lin, Xixin Cao

Although previous work has established several human perception-based AIGC image quality assessment (AIGCIQA) databases for text-generated images, the AI image generation technology includes scenarios like text-to-image and image-to-image, and assessing only the images generated by text-to-image models is insufficient.

Image Generation No-Reference Image Quality Assessment

Deep Learning Methods for Real-time Detection and Analysis of Wagner Ulcer Classification System

no code implementations • 3 Jun 2020 • Aifu Han, Yongze Zhang, Ajuan Li, Changjin Li, Fengying Zhao, Qiujie Dong, Qin Liu, Yanting Liu, Ximei Shen, Sunjie Yan, Shengzong Zhou

It is necessary to develop a medical system that assists in diagnosing DF in order to reduce part of the workload for podiatrists and to provide timely relevant information to patients with DF.