This paper proposes an effective infrared and visible image fusion method based on a
texture conditional generative adversarial network (TC-GAN). The constructed TC-GAN …

This paper proposes a new infrared and visible image fusion method based on the densely
connected disentangled representation generative adversarial network (DCDR-GAN), which …

The end-to-end image fusion framework has achieved promising performance, with
dedicated convolutional networks aggregating the multi-modal local appearance. However …

The goal of infrared and visible image fusion is to generate an informative image which
preserves texture details and infrared targets. Most generative adversarial network (GAN) …

Infrared and visible image fusion methods aim to combine high-intensity instances and
detail texture features into fused images. However, the ability to capture compact features …

In this paper, we propose a novel method for visible and infrared image fusion by
decomposing feature information, which is termed as CUFD. It adopts two pairs of encoder …

Generative adversarial network (GAN) has shown great potential in infrared and visible
image fusion. The existing GAN-based methods establish an adversarial game between …

Deep learning is a rapidly developing approach in the field of infrared and visible image
fusion. In this context, the use of dense blocks in deep networks significantly improves the …

Infrared and visible image fusion aims to describe the same scene from different aspects by
combining complementary information of multi-modality images. The existing Generative …

Image fusion synthesizes a new image from multiple images of the same scene. The
synthesized image should be suitable for human visual perception and follow-up high-level …