Cover Image

Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Jinyuan, Wu, Guanyao, Liu, Zhu, Wang, Di, Jiang, Zhiying, Ma, Long, Zhong, Wei, Fan, Xin, Liu, Risheng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging Human Evaluation to Infrared and Visible Image Fusion
by: Liu, Jinyuan, et al.
Published: (2026)

From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion
by: Li, Xingyuan, et al.
Published: (2023)

Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
by: Liu, Jinyuan, et al.
Published: (2025)

Searching a Compact Architecture for Robust Multi-Exposure Image Fusion
by: Liu, Zhu, et al.
Published: (2023)

DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion
by: Liu, Jinyuan, et al.
Published: (2025)

Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
by: Jiang, Zhiying, et al.
Published: (2024)

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion
by: Liu, Jinyuan, et al.
Published: (2022)

Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond
by: Wu, Guanyao, et al.
Published: (2025)

Uncertainty-aware Spatial-Frequency Registration and Fusion for Infrared and Visible Images
by: Li, Xingyuan, et al.
Published: (2026)

DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
by: Liu, Zhu, et al.
Published: (2025)

HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning
by: Zhang, Zengxi, et al.
Published: (2024)

DRFusion: Drift-Resilient Temporally Consistent Infrared-Visible Video Fusion
by: Li, Xingyuan, et al.
Published: (2026)

Infrared and Visible Image Fusion with Hierarchical Human Perception
by: Yang, Guang, et al.
Published: (2024)

Entity-Guided Multi-Task Learning for Infrared and Visible Image Fusion
by: Shao, Wenyu, et al.
Published: (2026)

Practical exposure correction via compensation
by: Ma, Long, et al.
Published: (2022)

Depth-Supervised Fusion Network for Seamless-Free Image Stitching
by: Jiang, Zhiying, et al.
Published: (2025)

Rethinking the Evaluation of Visible and Infrared Image Fusion
by: Guan, Dayan, et al.
Published: (2024)

DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
by: Li, Xingyuan, et al.
Published: (2025)

Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion
by: Mu, Pan, et al.
Published: (2024)

Instruction-Driven Fusion of Infrared-Visible Images: Tailoring for Diverse Downstream Tasks
by: Yang, Zengyi, et al.
Published: (2024)

Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset
by: Zou, Yang, et al.
Published: (2026)

Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction
by: Shang, Xiaoke, et al.
Published: (2023)

$\textrm{A}^{\textrm{2}}$RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
by: Li, Jiawei, et al.
Published: (2024)

HATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution
by: Zou, Yang, et al.
Published: (2026)

Customized Fusion: A Closed-Loop Dynamic Network for Adaptive Multi-Task-Aware Infrared-Visible Image Fusion
by: Yang, Zengyi, et al.
Published: (2026)

TeSG: Textual Semantic Guidance for Infrared and Visible Image Fusion
by: Zhu, Mingrui, et al.
Published: (2025)

Infrared and Visible Image Fusion Based on Implicit Neural Representations
by: Sun, Shuchen, et al.
Published: (2025)

UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation
by: Li, Xingyuan, et al.
Published: (2026)

CARNet: Collaborative Adversarial Resilience for Robust Underwater Image Enhancement and Perception
by: Zhang, Zengxi, et al.
Published: (2023)

RIS-FUSION: Rethinking Text-Driven Infrared and Visible Image Fusion from the Perspective of Referring Image Segmentation
by: Ma, Siju, et al.
Published: (2025)

Advancing Unsupervised Low-light Image Enhancement: Noise Estimation, Illumination Interpolation, and Self-Regulation
by: Liu, Xiaofeng, et al.
Published: (2023)

Beyond Night Visibility: Adaptive Multi-Scale Fusion of Infrared and Visible Images
by: Pei, Shufan, et al.
Published: (2024)

FusionRegister: Every Infrared and Visible Image Fusion Deserves Registration
by: Bian, Congcong, et al.
Published: (2026)

Causality-Driven Infrared and Visible Image Fusion
by: Ma, Linli, et al.
Published: (2025)

SGDFuse: SAM-Guided Diffusion Model for High-Fidelity Infrared and Visible Image Fusion
by: Zhang, Xiaoyang, et al.
Published: (2025)

Quaternion Infrared Visible Image Fusion
by: Yang, Weihua, et al.
Published: (2025)

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion
by: Li, Timing, et al.
Published: (2025)

MATCNN: Infrared and Visible Image Fusion Method Based on Multi-scale CNN with Attention Transformer
by: Liu, Jingjing, et al.
Published: (2025)

S4Fusion: Saliency-aware Selective State Space Model for Infrared Visible Image Fusion
by: Ma, Haolong, et al.
Published: (2024)

DDFusion:Degradation-Decoupled Fusion Framework for Robust Infrared and Visible Images Fusion
by: Zhang, Tianpei, et al.
Published: (2025)