1 code implementation • 25 Apr 2024 • Huiyu Zhai, Mo Chen, Xingxing Yang, Gusheng Kang
The NIR-to-RGB spectral domain translation is a formidable task due to the inherent spectral mapping ambiguities within NIR inputs and RGB outputs.
no code implementations • 26 Dec 2023 • Xingxing Yang, Jie Chen, Zaifeng Yang
To address these challenges, we propose to colorize NIR images via a multi-scale progressive feature embedding network (MPFNet), with the guidance of grayscale image colorization.
1 code implementation • 18 Dec 2023 • Xingxing Yang, Jie Chen, Zaifeng Yang
Existing learning-based hyperspectral reconstruction methods show limitations in fully exploiting the information among the hyperspectral bands.
no code implementations • 7 Aug 2023 • Xingxing Yang, Jie Chen, Zaifeng Yang
To address these challenges, we propose a cooperative learning paradigm that colorizes NIR images in parallel with another proxy grayscale colorization task by exploring latent cross-domain priors (i. e., latent spectrum context priors and task domain priors), dubbed CoColor.
no code implementations • 20 Jul 2021 • Xingxing Yang, Jie Chen, Zaifeng Yang, Zhenghua Chen
Finally, a Fusion Attention Block (FAB) is proposed to adaptively fuse the features from the two branches and generate an optimized colorization result.