多模态信息融合

Multi-Grained Text-Guided Image Fusion for Multi-Exposure and Multi-Focus Scenarios

多粒度文本引导图像融合用于多曝光和多聚焦场景

Mingwei Tang, Jiahao Nie, Guang Yang, Ziqing Cui, Jie Li

机构 * Xidian University（西安电子科技大学） ； Nanyang Technological University（新加坡国立大学） ； Xi’an University of Technology（西安理工大学） 纠错

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-focus(title,abstract)；multi-exposure(title,abstract)；分类 cs.CV

AI总结 本文提出MTIF方法，通过多粒度文本描述和跨模态调节模块提升多曝光和多聚焦图像融合性能。

Comments Accepted to WACV 2026

Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusion

Haowen Bai, Jiangshe Zhang, Zixiang Zhao, Lilun Deng, Yukun Cui, Shuang Xu

机构 * Xi’an Jiaotong University（西安交通大学） ； ETH Zürich（苏黎世联邦理工学院） ； Northwestern Polytechnical University（西北工业大学） 纠错

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-exposure(title,abstract)；information fusion(abstract)；分类 cs.CV

Comments Accepted to ICCV 2025

A Color Compensation Method Using Inverse Camera Response Function for Multi-exposure Image Fusion

Artit Visavakitcharoen, Yuma Kinoshita, Hitoshi Kiya

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-exposure(title,abstract)；分类 eess.IV、cs.MM

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） 纠错

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-focus(title,abstract)；分类 cs.CV

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

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)

NTIRE 2026 第三次恢复任何图像模型（RAIM）挑战：动态场景中的多曝光图像融合（Track 2）

Lishen Qu, Yao Liu, Jie Liang, Hui Zeng, Wen Dai, Guanyi Qin, Ya-nan Guan, Shihao Zhou, Jufeng Yang, Lei Zhang, Radu Timofte, Xiyuan Yuan, Wanjie Sun, Shihang Li, Bo Zhang, Bin Chen, Jiannan Lin, Yuxu Chen, Qinquan Gao, Tong Tong, Song Gao, Jiacong Tang, Tao Hu, Xiaowen Ma, Qingsen Yan, Sunhan Xu, Juan Wang, Xinyu Sun, Lei Qi, He Xu, Jiachen Tu, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Yaokun Shi

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-exposure(title,abstract)；分类 cs.CV

AI总结 本文提出NTIRE 2026挑战，针对动态场景中多曝光图像融合的HDR成像难题，提供包含100训练序列和100测试序列的基准数据集，评估PSNR、SSIM、LPIPS等指标及感知质量，最终由114支队伍提交987份方案，提升去噪和细节恢复能力。

Comments Accepted by CVPRW 2026

Bayesian multi-exposure image fusion for robust high dynamic range ptychography

Shantanu Kodgirwar, Lars Loetgering, Chang Liu, Aleena Joseph, Leona Licht, Daniel S. Penagos Molina, Wilhelm Eschen, Jan Rothhardt, Michael Habeck

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-exposure(title,abstract)；分类 eess.IV

Hue-Correction Scheme Considering Non-Linear Camera Response for Multi-Exposure Image Fusion

Kouki Seo, Chihiro Go, Yuma Kinoshita, Hitoshi Kiya

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-exposure(title,abstract)；分类 eess.IV

Hue Correction Scheme for Multi-Exposure Image Fusion Considering Hue Distortion in Input Images

Kouki Seo, Chihiro Go, Yuma Kinoshita, Hitoshi Kiya

专题命中 多聚焦/多曝光融合 ：image fusion(title,abstract)；multi-exposure(title,abstract)；分类 eess.IV

Comments 2 pages, 4 figures, accepted by 2020 IEEE ICCE-TW

Variational Approach for Intensity Domain Multi-exposure Image Fusion

Harbinder Singh, Dinesh Arora, Vinay Kumar

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；image fusion(title)；分类 cs.CV

Comments 18 pages, 6 figures, Book Chapter

PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map

Diclehan Karakaya, Oguzhan Ulucan, Mehmet Turkan

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；image fusion(title)；分类 cs.CV

Perceptual Multi-Exposure Fusion

Xiaoning Liu

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；image fusion(abstract)；分类 cs.CV、eess.IV

Direct 3D information fusion for depth of field enhancement in optical-resolution photoacoustic microscopy

Xianlin Song, Sihang Li, Zhuangzhuang Wang

专题命中 多聚焦/多曝光融合 ：information fusion(title,abstract)；multi-focus(abstract)；分类 eess.IV

Synthetic multi-focus optical-resolution photoacoustic microscope for large volumetric imaging

Xianlin Song, Jianshuang Wei, Lingfang Song

专题命中 多聚焦/多曝光融合 ：multi-focus(title,abstract)；image fusion(abstract)；分类 eess.IV

Comments arXiv admin note: substantial text overlap with arXiv:2009.01840

Real-MFF: A Large Realistic Multi-focus Image Dataset with Ground Truth

Juncheng Zhang, Qingmin Liao, Shaojun Liu, Haoyu Ma, Wenming Yang, Jing-Hao Xue

专题命中 多聚焦/多曝光融合 ：multi-focus(title,abstract)；image fusion(abstract)；分类 cs.CV

Efficient Misalignment-Robust Multi-Focus Microscopical Images Fusion

Yixiong Liang, Yuan Mao, Zhihong Tang, Meng Yan, Yuqian Zhao, Jianfeng Liu

专题命中 多聚焦/多曝光融合 ：multi-focus(title,abstract)；image fusion(abstract)；分类 cs.CV

Comments 14 pages,11 figures

A Pseudo Multi-Exposure Fusion Method Using Single Image

Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；image fusion(abstract)；分类 cs.CV

Comments To appear in IEICE Trans. Fundamentals, vol.E101-A, no.11, November 2018

A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement

Zhenqiang Ying, Ge Li, Wen Gao

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；image fusion(abstract)；分类 cs.CV

Comments Project website: https://baidut.github.io/BIMEF/

MobileMEF: Fast and Efficient Method for Multi-Exposure Fusion

Lucas Nedel Kirsten, Zhicheng Fu, Nikhil Ambha Madhusudhana

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV、eess.IV

Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging

Huafeng Li, Zhenmei Yang, Yafei Zhang, Dapeng Tao, Zhengtao Yu

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV、eess.IV

Comments IEEE Transactions on Computational Imaging

Blur aware metric depth estimation with multi-focus plenoptic cameras

Mathieu Labussière, Céline Teulière, Omar Ait-Aider

专题命中 多聚焦/多曝光融合 ：multi-focus(title,abstract)；分类 cs.CV、eess.IV

Comments 21 pages, 12 Figures, 3 Tables

A High Resolution Multi-exposure Stereoscopic Image & Video Database of Natural Scenes

Rohit Choudhary, Mansi Sharma, Aditya Wadaskar

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV、eess.IV

Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites

Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV、eess.IV

Comments CVPR 2022

Blur Aware Calibration of Multi-Focus Plenoptic Camera

Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider

专题命中 多聚焦/多曝光融合 ：multi-focus(title,abstract)；分类 cs.CV、eess.IV

Comments 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing

Prashant Chaudhari, Franziska Schirrmacher, Andreas Maier, Christian Riess, Thomas Köhler

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV、eess.IV

Comments Computational Photography, DAGM GCPR 2021

End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images

Jung Hee Kim, Siyeong Lee, Suk-Ju Kang

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV、eess.IV

Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array

Takeru Suda, Masayuki Tanaka, Yusuke Monno, Masatoshi Okutomi

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV、eess.IV

Comments Accepted at ACCV2020 (Oral). Project page: http://www.ok.sc.e.titech.ac.jp/res/DSHDR/

Dual-Output Multi-Exposure HDR Reconstruction via SDR Fusion and Gain Map Inverse Tone Mapping

通过SDR融合与增益图逆色调映射实现双输出多曝光HDR重建

Jinho Kim, Jinwoo Kim, Seon Joo Kim

机构 * Yonsei University（延世大学） 纠错

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV

AI总结 该研究提出DOME-HDR框架，通过LoRA适配的潜在扩散模型与双交叉注意力融合模块生成SDR，结合HPGM网络预测增益图实现多曝光HDR重建，在多个数据集上达到最优性能。

Comments Accepted to ECCV 2026

ExpoMotion: A Large-Scale Benchmark and A Householder Projection Network for Multi-Exposure Fusion

ExpoMotion：用于多曝光融合的大规模基准和豪斯霍尔德投影网络

Yao Liu, Lishen Qu, Shihao Zhou, Jie Liang, Hui Zeng, Yabin Peng, Huipeng Lin, Lei Zhang, Jufeng Yang

机构 * Nankai International Advanced Research Institute (SHENZHEN·FUTIAN)（南开大学国际研究院（深圳·福田）） ； Pengcheng Laboratory（鹏城实验室） ； College of Computer Science, Nankai University（南开大学计算机科学学院） ； The Hong Kong Polytechnic University（香港理工大学） ； OPPO Research Institute（OPPO研究院） 纠错

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV

AI总结 针对多曝光融合中运动重影及高质量动态基准稀缺问题，提出ExpoMotion基准，含多样序列和图像及高保真真值。还提出豪斯霍尔德正交投影网络，通过变换解耦多帧对齐，实验验证了其有效性。

Comments Accepted by ECCV 2026

There and Back Again: A Flexible-Frame Transformer for Multi-Exposure Fusion

去而复返：用于多曝光融合的灵活帧数Transformer

Lishen Qu, Yao Liu, Shihao Zhou, Jie Liang, Hui Zeng, Lei Zhang, Jufeng Yang

机构 * Nankai International Advanced Research Institute (SHENZHEN·FUTIAN)（南开国际先进研究院（深圳·福田）） ； Peng Cheng Laboratory（鹏城实验室） ； College of Computer Science, Nankai University（南开大学计算机学院） ； The Hong Kong Polytechnic University（香港理工大学） ； OPPO Research Institute（OPPO研究院） 纠错

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV

AI总结 提出FreeMEF，首个灵活帧数多曝光融合Transformer，通过循环状态空间模块和全局特征引导块，无需重训练即可处理任意数量输入帧，在三个基准数据集上取得最优性能。

Comments Accepted by ECCV 2026

HDRAgent: An Agentic Framework for Multi-Exposure HDR Imaging

HDRAgent: 一种用于多曝光HDR成像的智能体框架

Weiyu Zhou, Tao Hu, Yijian Wang, Xiaogang Xu, Ruixing Wang, Qingsen Yan

机构 * School of Computer Science, Northwestern Polytechnical University（西北工业大学计算机学院） ； Shenzhen Research Institute, Northwestern Polytechnical University（西北工业大学深圳研究院） ； Zhejiang University（浙江大学） ； Camera Group, DJI（大疆相机部门） 纠错

专题命中 多聚焦/多曝光融合 ：multi-exposure(title,abstract)；分类 cs.CV

AI总结 提出首个智能体驱动的HDR成像框架HDRAgent，通过细粒度上下文知识匹配、感知-失真反馈机制和智能体引导的生成对齐策略，自适应选择重建策略，减少复杂动态场景中的鬼影和局部伪影。