We propose an innovative enhancement to the Mamba framework by increasing the Hausdorff dimension of its scanning pattern through a novel Hilbert Selective Scan mechanism. This mechanism explores the feature space more effectively, capturing intricate fine-scale details and improving overall coverage. As a result, it mitigates information inconsistencies while refining spatial locality to better capture subtle local interactions without sacrificing the model's ability to handle long-range dependencies. Extensive experiments on publicly available benchmarks demonstrate that our approach significantly improves both the quantitative metrics and qualitative visual fidelity of existing Mamba-based low-light image enhancement methods, all while reducing computational resource consumption and shortening inference time. We believe that this refined strategy not only advances the state-of-the-art in low-light image enhancement but also holds promise for broader applications in fields that leverage Mamba-based techniques.
MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution
Institute of Information Science, Beijing Jiaotong University（北京交通大学信息科学学院）；Visual Intelligence + X International Cooperation Joint Laboratory of MOE, Beijing Jiaotong University（教育部视觉智能+X国际合作联合实验室）；School of Computer and Communication Engineering, University of Science and Technology Beijing（北京科技大学计算机与通信工程学院）
RCL-Mamba: A Dual-domain State Space Model for Measurement-oriented Image Restoration in Rotational Sparse-View Scanning Computed Laminography
Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University（重庆大学光电技术及系统教育部重点实验室）；Engineering Research Center of Industrial CT Nondestructive Testing, Ministry of Education, Chongqing University（重庆大学工业CT无损检测教育部工程研究中心）
Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba
School of Communication and Information Engineering, Shanghai University（上海大学通信与信息工程学院）；College of Electronic Science, Air Force Aviation University（空军航空大学电子科学学院）；Intelligent Visual Information Perception Laboratory, Institute of Advanced Technology, Nanjing University of Posts and Telecommunications（南京邮电大学先进技术研究院智能视觉信息感知实验室）；School of Computer Science and Technology, East China Normal University（华东师范大学计算机科学与技术学院）
Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion
University of Science and Technology of China（中国科学技术大学）；Institute of Intelligent Machines（智能机器研究所）；Hefei Institutes of Physical Science, Chinese Academy of Sciences（中国科学院合肥物质科学研究院）；Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines（安徽省智能农业工程实验室，智能机器研究所）
Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning
Department of Radiation Oncology and Winship Cancer Institute, Emory University（放射肿瘤学部和Winship癌症研究所，埃默里大学）；Department of Radiology, Mayo Clinic（放射科，梅奥诊所）；Department of Radiology and Imaging Science and Winship Cancer Institute, Emory University（放射科和成像科学以及Winship癌症研究所，埃默里大学）；Department of Radiation and Cellular Oncology, University of Chicago（放射学和细胞肿瘤学部，芝加哥大学）
Trajectory-aware Shifted State Space Models for Online Video Super-Resolution
Pengcheng Labartory（鹏城实验室）；University of Bristol（英国布里斯托大学）；University of Electronic Science and Technology of China（电子科技大学）；Shenzhen Graduate School, Peking University（北京大学深圳研究生院）
Exploring Non-Local Spatial-Angular Correlations with a Hybrid Mamba-Transformer Framework for Light Field Super-Resolution
School of Information Science and Engineering, Huaqiao University（华侨大学信息科学与工程学院）；School of Mechanical Engineering and Automation, Huaqiao University（华侨大学机械工程与自动化学院）；School of Engineering, Huaqiao University（华侨大学工程学院）；School of Optoelectronic and Communication Engineering, Xiamen University of Technology（厦门理工大学光电子与通信工程学院）；Artificial Intelligence Institute, Hangzhou Dianzi University（杭州电子科技大学人工智能学院）
Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation
School of Digital Industry, Jiangxi Normal University（江西师范大学数字产业学院）；School of Computer and Information Engineering, Jiangxi Normal University（江西师范大学计算机与信息工程学院）
Versatile and Efficient Medical Image Super-Resolution Via Frequency-Gated Mamba
Faculty of Engineering and Information Technology, University of Technology Sydney, Australia（工程与信息技术学院，悉尼技术大学，澳大利亚）；Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China（深圳先进技术研究所，中国科学院，中国）；College of Computer Science and Technology, Qingdao University, China（计算机科学与技术学院，青岛大学，中国）；Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology, China（计算机科学与控制工程学院，深圳先进技术大学，中国）
Gather-Scatter Mamba: Accelerating Propagation with Efficient State Space Model
Department of Electrical and Computer Engineering, Sungkyunkwan University（电气与计算机工程系，全北大学）；Department of Artificial Intelligence, Sungkyunkwan University（人工智能系，全北大学）；Hanwha Systems, Republic of Korea（韩华系统，韩国）；Department of Artificial Intelligence, Yonsei University（人工智能系，延世大学）
Interactive State Space Model with Cross-Modal Local Scanning for Depth Super-Resolution
National University of Defense Technology（国防科技大学）；The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；Sun Yat-sen University（中山大学）；Institute of Artificial Intelligence (TeleAI), China Telecom（中国电信人工智能研究院（TeleAI））；University of Macau（澳门大学）
D2-Mamba: Dual-Scale Fusion and Dual-Path Scanning with SSMs for Shadow Removal
School of Artificial Intelligence, Hebei University of Technology（人工智能学院，河北工业大学）；School of Electrical and Computer Engineering, University of Texas at Austin（电气与计算机工程学院，德克萨斯大学奥斯汀分校）；School of Health Sciences and Biomedical Engineering, Hebei University of Technology（健康科学与生物医学工程学院，河北工业大学）
UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation
University of California, Santa Cruz（加州大学圣克鲁兹分校）；Johns Hopkins University（约翰霍普金斯大学）；Stanford University（斯坦福大学）；Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）；University of Adelaide（阿德莱德大学）
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
School of Computer Science and Technology, Zhejiang Gongshang University（浙江工商大学计算机科学与技术学院）；Tongxiang Hospital of Traditional Chinese Medicine（桐乡市中医院）；Prince Sattam Bin Abdulaziz University（萨塔姆·本·阿卜杜勒阿齐兹王子大学）；Qena University（奎纳大学）；Tampere University（坦佩雷大学）；Universidade Federal Fluminense（弗卢米嫩塞联邦大学）；Federal University of Ceara（塞阿拉联邦大学）；Firat University（菲拉特大学）；Systems Research Institute, Polish Academy of Sciences（波兰科学院系统研究所）；AGH University of Krakow（克拉科夫AGH大学）
An Efficient and Mixed Heterogeneous Model for Image Restoration
MAC Lab, Xiamen University, China（厦门大学）；National University of Singapore, Singapore（新加坡国立大学）；Smart City Research Institute, China Electronics Technology Group Corporation, China（中国电子科技集团有限公司智慧城市研究院）
State Key Laboratory of Physical Oceanography, Ocean University of China（中国海洋大学物理海洋学国家重点实验室）；School of Cyber Science and Technology, Sun Yat-Sen University（中山大学信息科学与技术学院）；Department of Electrical and Computer Engineering, Mississippi State University（密苏里州立大学电气与计算机工程系）
ClinicalFMamba: Advancing Clinical Assessment using Mamba-based Multimodal Neuroimaging Fusion
TD Bank Group, Toronto, Canada（TD银行集团，加拿大）；Department of Computer Science, University of Toronto, Toronto, Canada（多伦多大学计算机科学系，加拿大）；Department of Medical Imaging, University of Toronto, Toronto, Canada（多伦多大学医学影像系，加拿大）
SwinMamba: A hybrid local-global mamba framework for enhancing semantic segmentation of remotely sensed images
Xi'an Jiaotong-Liverpool University（西交利物浦大学）；University of Liverpool（利物浦大学）；Nanyang Technological University（南洋理工大学）；SJTUSME-COSMOPlat Joint Research Center for New Generation Industrial Intelligent Technology（上海交通大学机械与动力工程学院-卡奥斯新一代工业智能技术联合研究中心）
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification
Nanjing University of Information Science and Technology（南京信息工程大学）；Institute of Optics and Electronics（光学电子研究所）；China University of Geosciences（中国地质大学）；University of Extremadura（埃斯特雷马杜拉大学）
Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
School of Intelligence Science and Technology, Nanjing University（智能科学与技术学院、南京大学）；School of Electrical and Information Engineering, The University of Sydney（电气与信息工程学院、悉尼大学）
VRS-UIE: Value-Driven Reordering Scanning for Underwater Image Enhancement
School of Computer Science and Technology, Harbin Institute of Technology（哈尔滨工业大学计算机科学与技术学院）；Faculty of Information Technology, Beijing University of Technology（北京工业大学信息技术学院）
Tree-Mamba: A Tree-Aware Mamba for Underwater Monocular Depth Estimation
Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education（知识自动化工业过程关键实验室，教育部）；School of Automation and Electrical Engineering, University of Science and Technology Beijing（北京科技大学自动化与电气工程学院）；School of Ophthalmology and Optometry, Wenzhou Medical University（温州医科大学眼视光学院）；Department of Automation, Tsinghua University（清华大学自动化系）；Deepinfar Ocean Technology Inc.（深海远航技术有限公司）；School of Data Science, Lingnan University（岭南大学数据科学学院）；College of Computer Science, Nankai University（南开大学计算机学院）
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification
Nanjing University of Information Science and Technology（南京信息工程大学）；Institute of Optics and Electronics（光学电子研究所）；China University of Geosciences（中国地质大学）；University of Extremadura（埃斯特雷马杜拉大学）
Category Prompt Mamba Network for Nuclei Segmentation and Classification
School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳）计算机科学与技术学院）；Tsinghua Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院）；School of Science, Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳）理学院）；Pengcheng Laboratory（鹏城实验室）
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction
School of Basic Medical Science, Fudan University（复旦大学基础医学院）；Academy of Engineering and Technology, Fudan University（复旦大学工程与技术学院）；Shandong Computer Science Center (National Supercomputer Center in Jinan)（山东计算机科学中心（国家济南超级计算中心））
MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion
The Hong Kong Polytechnic University（香港理工大学）；University of Science and Technology of China（中国科学技术大学）；Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）；Stanford University（斯坦福大学）
RemoteDet-Mamba: A Hybrid Mamba-CNN Network for Multi-modal Object Detection in Remote Sensing Images
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China（计算机科学学院，北京邮电大学）；School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China（电子工程学院，北京邮电大学）
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification
Graduate School of Information, Production and Systems, Waseda University（早稻田大学信息、生产与系统研究科）；Key Laboratory of Electromagnetic Waves (EMW) Information, Fudan University（复旦大学电磁波信息重点实验室）；Hong Kong Polytechnic University（香港理工大学）
TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking
Department of Electronic and Electrical Engineering, Southern University of Science and Technology（电子与电气工程系，南方科技大学）；Peng Cheng Laboratory（鹏城实验室）；Department of Applied Mathematics and Theoretical Physics, University of Cambridge（应用数学与理论物理系，剑桥大学）；State Grid Corporation of China（国家电网公司）；East China Institute of Computing Technology（东部计算技术研究所）；Shenzhen Key Laboratory of Robotics and Computer Vision（深圳机器人与计算机视觉重点实验室）
