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Neural Spline Fields for Burst Image Fusion and Layer Separation
A dataset of burst image sequences for burst image fusion and layer separation. -
OSU Color-Thermal Database
OSU Color-Thermal Database is a visible-infrared paired dataset for fusion of color and thermal imagery. -
TNO Image Fusion Dataset
TNO Image Fusion Dataset is a public dataset for visible and infrared image fusion. -
Visual Attention in LDR and HDR Images
A dataset for visual attention in LDR and HDR images. -
MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
A new approach for high-quality multi-exposure image fusion (MEF) using 1D lookup tables (LUTs) for efficient fusion. -
Perceptual quality assessment for multi-exposure image fusion
Perceptual quality assessment for multi-exposure image fusion -
MRI and PET Image Fusion
MRI and PET image fusion -
Infrared and Visible Image Fusion Methods and Applications: A Survey
Infrared and visible image fusion methods and applications: A survey -
Image Fusion Transformer
The proposed Image Fusion Transformer (IFT) network where we developed a novel Spatio-Transformer (ST) fusion strategy that attends to both local and long-range dependencies. -
SICE-Train, SICE-Val, TCI2018, HDRPS
The dataset used for Multi-Exposure Image Fusion task. -
FLIR-Train, NIR-Water, NIR-OldBuilding, TNO, FLIR-Test, NIR-Country
The dataset used for Infrared and Visible Image Fusion, Multi-Exposure Image Fusion and Multi-Modal Image Fusion tasks. -
FusionT-LESS
Sensor fusion can significantly improve the performance of many computer vision tasks. However, traditional fusion approaches are either not data-driven and cannot exploit prior... -
FusionCelebA
Sensor fusion can significantly improve the performance of many computer vision tasks. However, traditional fusion approaches are either not data-driven and cannot exploit prior... -
FusionMNIST
Sensor fusion can significantly improve the performance of many computer vision tasks. However, traditional fusion approaches are either not data-driven and cannot exploit prior...