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.
no code implementations • 13 Jul 2021 • Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
A progressive texture blending module is designed to blend the encoded two-stream features in a multi-scale and progressive manner.
no code implementations • 17 Jun 2021 • Wenpeng Xing, Jie Chen, Zaifeng Yang, Qiang Wang
Image-based geometric modeling and novel view synthesis based on sparse, large-baseline samplings are challenging but important tasks for emerging multimedia applications such as virtual reality and immersive telepresence.