Image fusion meets deep learning: A survey and perspective
Image fusion, which refers to extracting and then combining the most meaningful information
from different source images, aims to generate a single image that is more informative and …
from different source images, aims to generate a single image that is more informative and …
Visible and infrared image fusion using deep learning
Visible and infrared image fusion (VIF) has attracted a lot of interest in recent years due to its
application in many tasks, such as object detection, object tracking, scene segmentation …
application in many tasks, such as object detection, object tracking, scene segmentation …
SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer
This study proposes a novel general image fusion framework based on cross-domain long-
range learning and Swin Transformer, termed as SwinFusion. On the one hand, an attention …
range learning and Swin Transformer, termed as SwinFusion. On the one hand, an attention …
SuperFusion: A versatile image registration and fusion network with semantic awareness
Image fusion aims to integrate complementary information in source images to synthesize a
fused image comprehensively characterizing the imaging scene. However, existing image …
fused image comprehensively characterizing the imaging scene. However, existing image …
PIAFusion: A progressive infrared and visible image fusion network based on illumination aware
Infrared and visible image fusion aims to synthesize a single fused image containing salient
targets and abundant texture details even under extreme illumination conditions. However …
targets and abundant texture details even under extreme illumination conditions. However …
Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network
Infrared and visible image fusion aims to synthesize a single fused image that not only
contains salient targets and abundant texture details but also facilitates high-level vision …
contains salient targets and abundant texture details but also facilitates high-level vision …
DIVFusion: Darkness-free infrared and visible image fusion
As a vital image enhancement technology, infrared and visible image fusion aims to
generate high-quality fused images with salient targets and abundant texture in extreme …
generate high-quality fused images with salient targets and abundant texture in extreme …
YDTR: Infrared and visible image fusion via Y-shape dynamic transformer
Infrared and visible image fusion is aims to generate a composite image that can
simultaneously describe the salient target in the infrared image and texture details in the …
simultaneously describe the salient target in the infrared image and texture details in the …
Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and …
Image fusion aims to integrate complementary characteristics of source images into a single
fused image that better serves human visual observation and machine vision perception …
fused image that better serves human visual observation and machine vision perception …
SwinFuse: A residual swin transformer fusion network for infrared and visible images
The existing deep learning fusion methods mainly concentrate on convolutional neural
networks (CNNs), and few attempts are made with transformer. Meanwhile, the …
networks (CNNs), and few attempts are made with transformer. Meanwhile, the …