- 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!
- 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
- 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 (Nov, 2024)
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MaIR: A Locality and Continuity Preserving Mamba for Image Restoration (Dec, 2024)
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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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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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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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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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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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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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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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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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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)
- 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.