arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

Image Fusion

围绕 image fusion 的图像融合方法、数据集、评测与应用。

共收录 688
2510.12260 2025-10-15 cs.CV cs.LG eess.IV 79%

AngularFuse: A Closer Look at Angle-based Perception for Spatial-Sensitive Multi-Modality Image Fusion

Xiaopeng Liu, Yupei Lin, Sen Zhang, Xiao Wang, Yukai Shi, Liang Lin

机构 * School of Information Engineering, Guangdong University of Technology(广东技术大学信息工程学院) TikTok, ByteDance Inc(字节跳动) School of Computer Science, Anhui University(安徽大学计算机科学学院) School of Computer Science and Engineering, Sun Yat-sen University(中山大学计算机科学与工程学院)

专题命中 Image Fusion :image fusion(title,abstract)

Comments For the first time, angle-based perception was introduced into the multi-modality image fusion task

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2502.14493 2025-02-21 cs.CV cs.LG 79%

CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond

Yukai Shi, Cidan Shi, Zhipeng Weng, Yin Tian, Xiaoyu Xian, Liang Lin

专题命中 Image Fusion :image fusion(title,abstract)

Comments IEEE T-CSVT. We mainly discuss the out-of-distribution challenges in infrared and visible image fusion

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2103.00940 2021-08-04 eess.IV cs.CV 79%

LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data

Juan Marcos Ramírez, José Ignacio Martínez Torre, Henry Arguello Fuentes

专题命中 Image Fusion :image fusion(title,abstract)

Comments 29 pages, 15 figures, 4 tables

Journal ref Juan Marcos Ramirez, Jose Ignacio Martinez-Torre, and Henry Arguello, "LADMM-Net: An Unrolled Deep Network For Spectral Image Fusion From Compressive Data", Signal Processing, vol. 189, Dec 2021, 108239

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1307.2440 2013-07-10 cs.CV 79%

Image Fusion Technologies In Commercial Remote Sensing Packages

Firouz Abdullah Al-Wassai, N. V. Kalyankar

专题命中 Image Fusion :image fusion(title,abstract)

Comments Keywords: Commercial Processing Systems, Image Fusion, quality evaluation

Journal ref Journal of Global Research in Computer Science, 4 (5), May 2013, 44-50

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1107.4396 2012-09-18 cs.CV 79%

The IHS Transformations Based Image Fusion

Firouz Abdullah Al-Wassai, N. V. Kalyankar, Ali A. Al-Zuky

专题命中 Image Fusion :image fusion(title,abstract)

Comments Image Fusion, Color Models, IHS, HSV, HSL, YIQ, transformations

Journal ref Journal-ref: International Journal of Advanced Research in Computer Science,Volume 2, No. 5, Sept-Oct 2011,www.ijarcs.info

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1107.3348 2012-09-18 cs.CV 79%

Arithmetic and Frequency Filtering Methods of Pixel-Based Image Fusion Techniques

Firouz Abdullah Al-Wassai, N. V. Kalyankar, Ali A. Al-Zuky

专题命中 Image Fusion :image fusion(title,abstract)

Comments Image Fusion, Pixel-Based Fusion, Brovey Transform, Color Normalized, High-Pass Filter, Modulation, Wavelet transform

Journal ref Journal-ref: International Journal of Advanced Research in Computer Science,Volume 2, No. 5, Sept-Oct 2011,www.ijarcs.info

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2608.13045 2026-08-14 cs.CV 新提交 78%

P2Fusion: Prompt-based Progressive Infrared-Visible Image Fusion via Dual-Prior Distillation

P2Fusion:基于提示的双先验蒸馏红外-可见光图像渐进融合

Yi Shi, Huichao Xie, Yuqing Wang, Mingyu Wang, Kaihui Yang, Yu Liu, Ruitao Lu, Lizhe Li, Junwei Han, Dingwen Zhang

机构 * Northwestern Polytechnical University(西北工业大学) Hefei University of Technology(合肥工业大学) Rocket Force University of Engineering(火箭军工程大学) Chongqing University of Posts and Telecommunications(重庆邮电大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 针对红外-可见光图像融合的信息差异挑战,提出基于双固有提示的P2Fusion框架,结合Teach-to-Fuse机制与GDER模块,在多数据集上实现SOTA性能并提升下游感知鲁棒性。

Comments Accepted by ECCV 2026. Website: https://p2fusion.github.io

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2512.15211 2026-08-13 cs.CV 版本更新 78%

WLC: Weber-Inspired Local Contrast Metric for Low-Altitude Image Fusion

TBC: 低空红外与可见图像融合中的目标-背景对比度度量

Cong Wang, Yufeng Xie

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文提出TBC度量,通过关注目标与背景的相对对比度,解决传统度量在低光环境中的失效问题,提升无人机图像融合的鲁棒性和实时性。

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2608.01301 2026-08-10 cs.CV cs.AI 版本更新 78%

Ranking Image Fusion the Way Humans Do: A Learned Pairwise Preference Measure for Infrared-Visible Fusion Assessment

以人类方式进行图像融合排序:用于红外-可见光融合评估的学习型成对偏好度量

Haoran Liu, Mingzhe Liu, Peng Li, Guibin Zan

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 针对红外-可见光图像融合缺乏理想参考、成对比较成本高的问题,提出LPIFM模型,利用新偏好语料库训练,可准确复现人类成对判断,性能优于传统度量,还公开了相关数据集与代码。

Comments 23 pages, 8 figures

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2608.03252 2026-08-05 cs.CV 新提交 78%

Clarity Contrast and Similarity Selection for Multi-Focus Image Fusion

用于多聚焦图像融合的清晰度对比与相似性选择

Yicheng Zhang, Haoyou Deng, Zhiqiang Li, Wenti Yin, Nong Sang, Changxin Gao

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 该研究针对多聚焦图像融合中源图像交互不足的问题,提出CSNet模型,通过CCAM和相似性选择策略实现信息交互,在定量和定性评估中达到当前最优性能。

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2608.00530 2026-08-04 cs.CV cs.AI 新提交 78%

Unleashing the Power of Text: Text-Guided Flow Matching for Image Fusion under Complex Degradations

释放文本的力量:面向复杂退化场景的文本引导流匹配图像融合

Axi Niu, Jieheng Li, Kang Zhang, Qingsen Yan, Jinqiu Sun, Yanning Zhang

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 针对复杂退化下红外-可见光图像融合的挑战,提出文本引导的TGFusion框架,通过多流联合流Transformer实现动态文本引导,在多类退化场景下取得优异融合性能。

Comments 12 pages, 9 figures, including supplementary material

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2607.28565 2026-07-31 cs.CV 新提交 78%

MIND: Multimodal Intent-Driven Network via Diffusion Transformers for Medical Image Fusion

MIND:基于扩散Transformer的多模态意图驱动网络用于医学图像融合

Yunzhan Fu, Xiangyu Shen, Yifei Sun, Yuhan Chen, Jian Wu, Hongxia Xu

机构 * Transvascular Implantation Devices Research Institute, Zhejiang University(浙江大学血管内植入器械研究院) Zhejiang University(浙江大学) Hangzhou Institute of Technology, Xidian University(西安电子科技大学杭州研究院) Hangzhou Dianzi University(杭州电子科技大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 该研究针对现有医学图像融合方法缺乏对诊断意图深度理解的问题,提出基于DiTs的MIND网络,通过BioMedGPT、多尺度潜在适配器和医学语义一致性损失优化,在多数据集上取得优异效果,可提升脑肿瘤分割精度并支持交互式融合。

Comments 14pages, 14 figures, accepted by ACM MM2026

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2607.25338 2026-07-29 cs.AI 新提交 78%

Dual-Domain Manifold Modeling for Hyperspectral Image Fusion

用于高光谱图像融合的双域流形建模

Chengxin Xie, Qiya Song, Yangbangyan Jiang, Renwei Dian, Xudong Kang

机构 * College of Information Science and Engineering, Hunan Normal University(湖南师范大学信息科学与工程学院) Institute of Information Engineering, Chinese Academy of Sciences(中国科学院信息工程研究所) School of Artificial Intelligence and Robotics, Hunan University(湖南大学人工智能与机器人学院)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 针对高光谱图像融合中几何约束建模难题,提出双域流形建模框架,通过拓扑感知Transformer和频率解耦的空间 - 光谱协同融合模块,有效整合光谱与空间信息,在多数据集实验中表现优于现有方法。

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2607.23600 2026-07-28 cs.CV 新提交 78%

ConFusion: Continuous Fusion Space Learning for Fine-Grained Controllable Infrared and Visible Image Fusion

ConFusion:用于细粒度可控红外与可见光图像融合的连续融合空间学习

Guo Yurong, He Yufei, Li Yonghao, Chang Dongliang, Zhang Ke, Ma Zhanyu

机构 * North China Electric Power University(华北电力大学) Beijing University of Posts and Telecommunications(北京邮电大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 研究可控红外与可见光图像融合,提出ConFusion框架,通过高斯条件空间感知调制学习连续融合空间,采用双分支架构及相关模块实现实例级细粒度可控融合,实验证明其在融合质量和下游任务上达先进水平。

Comments 10 pages, 5 figures

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2607.19879 2026-07-23 cs.CV 新提交 78%

Current Injection Spiking Neural Network for Infrared and Visible Image Fusion

用于红外与可见光图像融合的电流注入脉冲神经网络

Rui Zhao, Zhuoyuan Li, Wenrui Li, Yanchen Dong, Yajing Zheng, Giuseppe Valenzise, Weisi Lin

机构 * College of Computing and Data Science, Nanyang Technological University(南洋理工大学计算与数据科学学院) The Hong Kong Polytechnic University(香港理工大学) Harbin Institute of Technology(哈尔滨工业大学) State Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University(北京大学计算机科学学院多媒体信息处理国家重点实验室)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 研究红外与可见光图像融合问题,提出CIS - Fuse脉冲网络,通过电流注入脉冲算子在膜电位水平实现跨模态融合,构建双向跨模态融合模块并部署在双分支架构上,实验表明其融合质量与基于ANN的方法相当且更节能。

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2607.03643 2026-07-07 eess.IV cs.CV 新提交 78%

Model Confidence-Guided Multi-Image Fusion of Fundus Images for Diabetic Retinopathy Diagnosis

模型置信度引导的多图像融合眼底图像糖尿病视网膜病变诊断方法

Ananya Raghu, Anisha Raghu, Alice S. Tang, Yannis M. Paulus, Tyson N. Kim, Tomiko T. Oskotsky

机构 * Massachusetts Institute of Technology(麻省理工学院) Wilmer Eye Institute, Department of Ophthalmology, Johns Hopkins University(约翰霍普金斯大学威尔默眼科研究所) Department of Biomedical Engineering, Johns Hopkins University(约翰霍普金斯大学生物医学工程系) Bakar Computational Health Sciences Institute, University of California San Francisco(加州大学旧金山分校巴卡计算健康科学研究所) Department of Ophthalmology, University of California San Francisco(加州大学旧金山分校眼科系) Division of Clinical Informatics and Digital Transformation, University of California San Francisco(加州大学旧金山分校临床信息学与数字化转型 division)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 针对资源有限地区糖网病早期筛查需求,提出置信度引导的多图像融合框架,整合多眼底视图提升诊断置信度与准确率,性能优于传统图像质量级联流水线,适配低延迟移动筛查场景。

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2607.02572 2026-07-07 cs.CV cs.AI 新提交 78%

Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion

多源图像融合中用于可转移和可重构跨系统学习的加性因果构建

Zhizhong Fu, Wei Zhou, Zhaoyang Jiang, Yulong Lin, Yifu Hou, Xiaorong Ding, Qiang Yan, Yifan Chen

机构 * School of Life Science and Technology, University of Electronic Science and Technology of China(电子科技大学生命科学与技术学院) School of Health and Wellbeing, University of Glasgow(格拉斯哥大学健康与幸福学院) Department of Organ Transplantation, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China(电子科技大学附属四川省人民医院器官移植科) School of Information and Software Engineering, University of Electronic Science and Technology of China(电子科技大学信息与软件工程学院) Department of Radiology, Huzhou Maternity & Child Health Care Hospital(湖州市妇幼保健院放射科) Hepatological Surgery Department, Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University(浙江中医药大学附属湖州中医院第五临床医学院湖州市中心医院肝外科)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 针对多源图像融合中跨系统差异和纠缠问题,提出加性因果构建框架,通过干预一致性建立共享因果‘锚’实现因果图可转移,将融合过程形式化为因果构建并量化不确定性确保可重构,改进因果表示学习。

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2603.16130 2026-07-03 cs.CV 版本更新 78%

EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion

EPOFusion:一种针对红外和可见图像融合的曝光感知渐进优化方法

Zhiwei Wang, Defeng He, Li Zhao, Xiaoqin Zhang, Yuxing Li, Edmund Y. Lam

机构 * College of Information Engineering, Zhejiang University of Technology(浙江工业大学信息工程学院) College of Information Science and Technology, Zhejiang Shuren University(浙江树人大学信息科技学院) Department of Electrical and Electronic Engineering, The University of Hong Kong(香港大学电机电子工程系)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文提出EPOFusion方法,通过引入指导模块和迭代解码器提升曝光区域的融合效果,同时构建首个高质红外引导标注的曝光数据集,实验表明其在视觉保真度和下游任务表现上优于现有方法。

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2606.31242 2026-07-01 cs.CV 新提交 78%

UHD-MFF: Shattering Barriers in Multi-Focus Ultra-High-Definition Image Fusion via Learnable Lookup Tables

UHD-MFF:通过可学习查找表打破多焦点超高清图像融合的障碍

Yibing Zhang, Xunpeng Yi, Qinglong Yan, Yeda Wang, Han Xu, Jiayi Ma

机构 * Electronic Information School, Wuhan University(武汉大学电子信息学院) School of Robotics, Wuhan University(武汉大学机器人学院) School of Automation, Southeast University(东南大学自动化学院)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 针对超高清多焦点图像融合中的数据、模型和部署三大障碍,提出首个大规模超高清数据集UHD-MFF和基于可学习查找表的UMF-LUT框架,实现实时4K融合。

Comments Accepted by ECCV 2026

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2606.26812 2026-06-26 cs.CV 新提交 78%

Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction

恶劣天气下的多模态图像融合:掩码引导的特征恢复与交互

Xilai Li, Xiaosong Li, Haishu Tan, Tao Ye, Huafeng Li, Hongbin Wang

机构 * Foshan University(佛山大学) China University of Mining and Technology, Beijing(中国矿业大学(北京)) Kunming University of Science and Technology(昆明理工大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 提出一种掩码引导的多模态图像融合方法,通过伪真实标签和掩码生成机制同时实现特征恢复与跨模态交互,在合成和真实数据集上超越现有方法。

Comments Accepted at ECCV 2026

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2606.12303 2026-06-11 cs.CV 新提交 78%

From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion

从二维网格到一维标记:重塑多模态图像融合的共享表示

Yuchen Xian, Yunqiu Xu, Yang He, Yi Yang

机构 * University of Science and Technology of China(中国科学技术大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 提出基于冻结预训练图像标记器的紧凑一维标记接口,通过选择性标记编辑(STE)稀疏更新关键标记,在保持融合骨干网络不变的同时引导全局外观一致性,实现全局连贯与局部保真的最佳平衡。

Comments Accepted at the 43rd International Conference on Machine Learning (ICML 2026)

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2606.07985 2026-06-09 cs.CV cs.CL 新提交 78%

FMRFusion: Frequency-Aware Multi-View Representation Learning for Heterogeneous Image Fusion

FMRFusion: 面向异质图像融合的频率感知多视图表示学习

Tao Zhoua, Yunlong Liu, Qinghui Chen, Zekai Zhang, Minlong Sun, Changlin Biana, Dagang Li, Wenmin Wang, Jinglin Zhang

机构 * Shandong University(山东大学) Macau University of Science and Technology(澳门科技大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 提出FMRFusion网络,通过多尺度结构感知模块、双线性频率分解和跨视图互补交互,结合流匹配优化,实现红外与可见光图像融合,在夜间场景表现优异。

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1703.08001 2026-06-04 cs.CV cs.NA math.NA 78%

Nonlinear Spectral Image Fusion

非线性频谱图像融合

Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文展示基于总变分正则化的非线性频谱分解框架在图像融合及更广泛的图像处理任务中的有效性,通过选择特定图像的频率转移特征如面部皱纹,实现图像编辑。

Comments 13 pages, 9 figures, submitted to SSVM conference proceedings 2017

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2602.01760 2026-05-22 cs.CV 78%

MagicFuse: Single Image Fusion for Visual and Semantic Reinforcement

MagicFuse: 单图像融合用于视觉与语义增强

Hao Zhang, Yanping Zha, Zizhuo Li, Meiqi Gong, Jiayi Ma

机构 * Electronic Information School, Wuhan University, China(武汉大学电子信息学院) Suzhou Institute of Wuhan University, China(武汉大学苏州研究院) School of Automation, Wuhan University, China(武汉大学自动化学院)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文提出MagicFuse单图像融合框架,通过扩散模型生成跨光谱场景表示,实现视觉与语义的双重约束,实验表明其性能优于多模态融合方法。

Comments Accepted by CVPR 2026

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2605.09455 2026-05-12 cs.CV 78%

Adaptive 3D Convolution for Remote Sensing Image Fusion

自适应3D卷积用于遥感图像融合

Siran Peng, Xiangyu Zhu, Shang-Qi Deng, Liang-Jian Deng, Zhen Lei

机构 * State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences(多模态人工智能系统国家重点实验室,自动化研究所,中国科学院) School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) School of Mathematical Sciences/Multi-Hazard Early Warning Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China(数学科学学院/四川省多灾种早期预警重点实验室,电子科技大学) Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences(人工智能与机器人中心,香港科学院,中国科学院)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文提出自适应3D卷积方法,通过生成内容感知的3D卷积核,有效整合空间和光谱信息,提升遥感图像融合的精度与效率。

Comments Accepted by IEEE Transactions on Image Processing (TIP), Early Access, 2026

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2605.06969 2026-05-12 cs.CV 78%

Bringing Multimodal Large Language Models to Infrared-Visible Image Fusion Quality Assessment

将多模态大语言模型引入红外-可见图像融合质量评估

Yuchen Guo, Junli Gong, Yao Lu, Xintong Xu, Yiuming Cheung, Weifeng Su

机构 * Northwestern University(西北大学) Northeastern University(东北大学) University of Washington(华盛顿大学) Hong Kong Baptist University(香港 Baptist大学) Beijing Normal - Hong Kong Baptist University(北京师范大学-香港 Baptist大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文提出FuScore,利用多模态大语言模型生成连续质量评分,以更精确区分质量相近的融合图像,并结合多维子维度一致性和三重目标函数提升评估性能。

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2605.06049 2026-05-08 cs.CV 78%

Fusion in Your Way: Aligning Image Fusion with Heterogeneous Demands via Direct Preference Optimization

融合你的方式:通过直接偏好优化对齐图像融合与异质需求

Weijian Su, Songqian Zhang, Yuqi Han, Jian Zhuang, Yongdong Huang, Qiang Zhang

机构 * School of Computer Science and Technology, Dalian University of Technology(大连理工大学计算机科学与技术学院) Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology), Ministry of Education(社会计算与认知智能重点实验室(大连理工大学),教育部) Institute of Image Processing and Understanding, North Minzu University(北华大学图像处理与理解研究所)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文提出DPOFusion框架,通过整合PALDM和PCLDM实现任务引导和偏好适应的图像融合,解决人类和机器视觉的异质需求问题,提升融合质量和任务导向的迁移能力。

Comments Accepted by CVPR 2026

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2605.00885 2026-05-05 cs.CV 78%

Multi-Branch Non-Homogeneous Image Dehazing via Concentration Partitioning and Image Fusion

多分支非均匀图像去雾 via 浓度分区和图像融合

Yingming Zhang, Wuqi Su, Qing Xiao, Yonggang Yang

机构 * School of Software and Internet of Things Engineering, Zhejiang Gongshang University(软件与物联网工程学院,浙江工商大学) School of Computer Science and Technology, Tiangong University(计算机科学与技术学院,天工大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文提出CPIFNet网络,通过将非均匀去雾问题分解为多个均匀子问题,结合图像增强和融合技术,提升复杂场景下的去雾效果。

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2604.10584 2026-04-15 cs.CV 78%

CoFusion: Multispectral and Hyperspectral Image Fusion via Spectral Coordinate Attention

CoFusion:通过光谱坐标注意力实现多谱段和超谱图像融合

Baisong Li

机构 * School of Integrated Circuits, Tsinghua University, Beijing 100084, China(集成电路学院,清华大学,北京100084,中国)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 本文提出CoFusion框架,通过建模跨尺度和跨模态依赖,提升多谱段和超谱图像融合的空谱协同效果,实现空谱细节增强与光谱保真度的平衡。

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2406.13621 2026-04-14 cs.CL cs.CV cs.LG 78%

LaMI: Augmenting Large Language Models via Late Multi-Image Fusion

LaMI:通过晚期多图像融合增强大型语言模型

Guy Yariv, Idan Schwartz, Yossi Adi, Sagie Benaim

机构 * The Hebrew University of Jerusalem(耶路撒冷希伯来大学) Bar-Ilan University(巴伊兰大学)

专题命中 Image Fusion :image fusion(title,abstract)

AI总结 LaMI通过在测试时融合多个图像提升视觉常识推理能力,同时保持文本推理性能,适用于视觉和NLP任务。

Comments Accepted to ACL 2026

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