1 code implementation • 16 Mar 2024 • Tianhe Wu, Kede Ma, Jie Liang, Yujiu Yang, Lei Zhang
While Multimodal Large Language Models (MLLMs) have experienced significant advancement on visual understanding and reasoning, their potentials to serve as powerful, flexible, interpretable, and text-driven models for Image Quality Assessment (IQA) remains largely unexplored.
2 code implementations • 22 Apr 2022 • Shanshan Lao, Yuan Gong, Shuwei Shi, Sidi Yang, Tianhe Wu, Jiahao Wang, Weihao Xia, Yujiu Yang
Image quality assessment (IQA) algorithm aims to quantify the human perception of image quality.
Ranked #1 on Image Quality Assessment on MSU FR VQA Database
2 code implementations • 19 Apr 2022 • Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu Yang
No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of images in accordance with human subjective perception.
Ranked #8 on Video Quality Assessment on MSU SR-QA Dataset