Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model

arXiv:2404.07072v1 Announce Type: new
Abstract: In the field of computer vision, visible light images often exhibit low contrast in low-light conditions, presenting a significant challenge. While infrared imagery provides a potential solution, its utilization entails high costs and practical limitations. Recent advancements in deep learning, particularly the deployment of Generative Adversarial Networks (GANs), have facilitated the transformation of visible light images to infrared images. However, these methods often experience unstable training phases and may produce suboptimal outputs. To address these …

abstract arxiv challenge computer computer vision contrast costs cs.cv deep learning image images light limitations low practical presenting solution transformer translation type vision