Dec 26, 2023 · Abstract:NIR-to-RGB spectral domain translation is a challenging task due to the mapping ambiguities, and existing methods show limited ...

NIR-to-RGB spectral domain translation is a challenging task due to the mapping ambiguities and existing methods show limited learning capacities. To address ...

This work proposes to colorize NIR images via a multi-scale progressive feature embedding network (MPFNet), with the guidance of grayscale image ...

Dec 26, 2023 · NIR-to-RGB spectral domain translation is a challenging task due to the mapping ambiguities, and existing methods show limited learning ...

To address these challenges, we propose to colorize NIR images via a multi-scale progressive feature embedding network (MPFNet), with the guidance of grayscale ...

In this paper, we propose a Multi-scale HSV Color Feature Embedding Network (MCFNet) that decomposes the mapping process into three sub-tasks, including NIR ...

The NIR-to-RGB spectral domain translation is a formidable task due to the inherent spectral mapping ambiguities within NIR inputs and RGB outputs.

... In (Sun et al., 2019), the authors proposed a novel asymmetric cycle GAN for NIR to RGB domain translation, specifically focusing on NIR colorization. While ...

This work proposes a novel NIR-to-RGB translation method that contains a U-net based neural network used to learn the texture information while a CycleGAN ...

To address these challenges, we propose to colorize NIR images via a multi-scale progressive feature embedding network (MPFNet), with the guidance of grayscale ...