PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts

no code implementations • 8 Mar 2024 • Zewen Chen, Haina Qin, Juan Wang, Chunfeng Yuan, Bing Li, Weiming Hu, Liang Wang

On the other hand, PromptIQA is trained on a mixed dataset with two proposed data augmentation strategies to learn diverse requirements, thus enabling it to effectively adapt to new requirements.

Data Augmentation No-Reference Image Quality Assessment

Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization

no code implementations • CVPR 2023 • Haina Qin, Longfei Han, Weihua Xiong, Juan Wang, Wentao Ma, Bing Li, Weiming Hu

The ISP is less programmable and consists of a series of processing modules.

Hyperparameter Optimization Image Segmentation +3

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report

1 code implementation • 7 Nov 2022 • Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai

The role of mobile cameras increased dramatically over the past few years, leading to more and more research in automatic image quality enhancement and RAW photo processing.