- 2024-07-02 MambaIR is accepted by ECCV 2024!
- 2024-07-30 FreqMamba, VmambaSCI, Wave-Mamba, RainMamba, ALGNet have been accepted by ACM MM 2024. Congratulations!
- 2024-10-07 MambaLLIE has been accepted by NeurIPS 2024!
- 2024-11-25 FreMamba has been accepted by IEEE TMM!
- 2024-11-27 MambaIR has been updated to MambaIRv2, with better performance and efficiency!
- 2025-01-24 Contrast, the novel hybrid architecture of Mamba and Transformer, has been published! Congratulations! 🎉
- 2025-01-25 VISGA, a novel Mamba-based Blind IQA method has been accepted by IEEE TCSVT!
- 2025-02-27 MambaIRv2, MambaIC and MaIR are accepted by CVPR 2025! 🎉🎉🎉
- 2025-06-06 MamEVSR for event carmera video restoration has been accepted by CVPR 2025!
- 2025-07-04 EAMamba has been accepted by ICCV2025!
- 2025-10-26 Add paper categroy of Event Camera
- 2026-03-11 Add Mamba for SR papers from PR and IEEE TMM
- 2026-03-21 Add papers accepted by AAAI2026.
- Image Restoration
- All-in-One Image Restoration
- Image Super-resolution
- Image Deraining
- Image Dehazing
- Image Deblurring
- Low-light Image Enhancement
- Image Compression
- Image Fusion
- Remote Sensing Image
- Hyperspectral Image
- UnderWater Image
- Image Quality Assessment
- Medical Image
- Event Camera
- Video Restoration
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MambaIR: A Simple Baseline for Image Restoration with State-space Model (ECCV 2024)
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Vmambair: Visual State Space Model for Image Restoration (Mar, 2024)
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Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models (Mar, 2024)
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CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration (Apr, 2024)
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Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution (Oct, 2024)
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MambaIRv2: Attentive State Space Restoration (CVPR2025)
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MaIR: A Locality and Continuity Preserving Mamba for Image Restoration (CVPR2025)
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Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level Vision (Jan, 2025)
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Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration (Jan, 2025)
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MatIR: A Hybrid Mamba-Transformer Image Restoration Model (Jan, 2025)
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RestorMamba: An Enhanced Synergistic State Space Model for Image Restoration (ICASSP2025)
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EAMamba: Efficient All-Around Vision State Space Model for Image Restoration (ICCV2025)
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RamIR: Reasoning and action prompting with Mamba for all-in-one image restoration (Jan, 2025)
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All-in-one weather image restoration: Multi-modal attention and Bi-Directional Mamba Fusion (OCt, 2025)
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DVMSR: Distillated Vision Mamba for Efficient Super-Resolution (May, 2024)
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IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model (May, 2024)
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QMambaBSR: Burst Image Super-Resolution with Query State Space Model (Aug, 2024)
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MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs (Aug, 2024)
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S^3 Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model (Nov, 2024)
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SRMamba-T: Exploring the hybrid Mamba-Transformer network for single image super-resolution (Neurocomputing 2025)
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First-order State Space Model for Lightweight Image Super-resolution (ICASSP2025 Oral)
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A Collaborative Network of Mamba and CNN for Lightweight Image Super-Resolution (May, 2025)
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HMSR: Hypercomplex-Guided Mamba for Fine-Texture Coupling in Single Image Super-Resolution (Mar, 2026 | Pattern Recognition)
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PropMambaSR: Lightweight Image Super-Resolution with Propagation State Space Model (Mar, 2026 | IEEE TMM)
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FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining (ACM MM 2024)
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Image Deraining with Frequency-Enhanced State Space Model (May, 2024)
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FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining (June, 2024)
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A Hybrid Transformer-Mamba Network for Single Image Deraining (Sep, 2024)
- U-shaped Vision Mamba for Single Image Dehazing (Feb, 2024)
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Efficient Visual State Space Model for Image Deblurring (May, 2024)
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Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring (ACM MM 2024)
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XYScanNet: An Interpretable State Space Model for Perceptual Image Deblurring (Dec, 2024)
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ExpoMamba: ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement (July, 2024)
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Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement (May, 2024)
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MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space (May, 2024)
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RESVMUNetX: A Low-Light Enhancement Network Based on VMamba (July, 2024)
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Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement (ACM MM 2024)
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Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement (Sep 2024)
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MambaVC: Learned Visual Compression with Selective State Spaces (May, 2024)
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CMamba: Learned Image Compression with State Space Models (Jan, 2025)
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MambaIC: State Space Models for High-Performance Learned Image Compression (CVPR 2025)
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Mambadfuse: A mamba-based dual-phase model for multi-modality image fusion (Apr, 2024)
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A novel state space model with local enhancement and state sharing for image fusion (Apr, 2024)
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Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba (May, 2024)
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Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion (Sep, 2024)
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FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model (Jan, 2025)
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FMamba: Multimodal Image Fusion Driven by State Space Models (Nov, 2024)
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Interactive Spatial-Frequency Fusion Mamba for Multi-Modal Image Fusion (Feb,2026)
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RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing (May, 2024)
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Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution (IEEE TMM, 2024)
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MambaFormerSR: A Lightweight model for Remote-Sensing Image Super-Resolution (Sep, 2024)
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RSMamba: Biologically Plausible Retinex-Based Mamba for Remote Sensing Shadow Removal (Jan, 2025)
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Rep-Mamba: Re-parameterization in Vision Mamba for Lightweight Remote Sensing Image Super-Resolution (IEEE GRS)
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SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising (May, 2024)
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Hsidmamba: Exploring bidirectional state-space models for hyperspectral denoising (Apr, 2024)
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Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging (June, 2024)
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HSRMamba: Contextual Spatial-Spectral State Space Model for Single Hyperspectral Super-Resolution (Jan, 2025)
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Bidirectional-Aware Network Combining Transformer and Mamba for Hyperspectral Image Denoising (IEEE TGRS)
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WaterMamba: Visual State Space Model for Underwater Image Enhancement (May, 2024)
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PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancement (June, 2024)
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O-Mamba: O-shape State-Space Model for Underwater Image Enhancement (Aug, 2024)
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UWMamba: UnderWater Image Enhancement With State Space Model (Oct, 2024)
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PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement (AAAI 2026)
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Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution (July, 2024)
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Deform-Mamba Network for MRI Super-Resolution (July, 2024)
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MambaRecon: MRI Reconstruction with Structured State Space Models (Sep, 2024)
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DenoMamba: A fused state-space model for low-dose CT denoising (Sep, 2024)
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[Visual State Space Model with Graph-Based Feature Aggregation for Blind Image Quality Assessment](IEEE TCSVT, 2025)
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RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining (ACM MM 2024)
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Semi-Supervised State-Space Model with Dynamic Stacking Filter for Real-World Video Deraining (May, 2025)
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Event-based Video Super-Resolution via State Space Models (CVPR 2025)
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VSRM: A Robust Mamba-Based Framework for Video Super-Resolution (July 2025)
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LFMamba: Light Field Image Super-Resolution with State Space Model (June, 2024)
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VmambaSCI: Dynamic Deep Unfolding Network with Mamba for Compressive Spectral Imaging (ACM MM 2024)
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RASLF: Representation-Aware State Space Model for Light Field Super-Resolution (Mar 2026)
- Here is the tutorial of contributing to others projects.
- First, think about which category the work should belong to.
- Second, use the same format as the others to describe the work. Note that there should be two spaces between the title and the arixv icon. You can follow the previous readme format to creat new arxiv/github icons by simply replacing the url.