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Found 3 papers, 2 papers with code
Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning
Extensive experiments illustrate that the proposed FoalGAN is not only effective for appearance learning of small objects, but also outperforms other image translation methods in terms of semantic preservation and edge consistency for the NTIR2DC task.
Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization
Nighttime thermal infrared (NTIR) image colorization, also known as translation of NTIR images into daytime color images (NTIR2DC), is a promising research direction to facilitate nighttime scene perception for humans and intelligent systems under unfavorable conditions (e. g., complete darkness).
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss
Significant progress has been made in boundary detection with the help of convolutional neural networks.
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