Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.973964Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2506.07814.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.973964Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:57:24.371302Z
A source-named dated measurement, never combined with another source.
Source: cited_works
70 of 70 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 98b48b67-3573-45b8-b5c3-f481e4245318 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Efficient image dehazing with boundary constraint and contextual regularization,
Reference 1
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Observation 48b52209-7e39-4c4c-9591-0bae4f8bf8a9 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Anchored neighborhood regression for fast example-based super-resolution,
Reference 2
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Observation ad4f0e85-6d89-425c-acba-ed426d3afb82 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration A fast single image haze removal algorithm using color attenuation prior,
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Observation 8e3b81ea-7746-412b-8602-4f8bc2c3d091 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Single-image super-resolution using sparse regression and natural image prior,
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M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Single image haze removal using dark channel prior,
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Observation cfa43628-6ae2-464e-92b4-709e4be497ab · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Bidirectional multi-scale implicit neural representations for image deraining,
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M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Ucl-dehaze: toward real-world image dehazing via unsu- pervised contrastive learning,
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M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Smartassign: Learning A smart knowledge assignment strategy for deraining and desnowing,
Reference 8
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Observation a8c3b768-f144-4a1c-b1d8-894304a53739 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Apanet: Asymmetrical parallax attention network for efficient stereo image deraining,
Reference 9
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Observation 96e22808-5765-4fd3-8a3f-74cc80cf9f00 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Image desnowing via deep invertible separation,
Reference 10
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Observation ce9c77c0-1207-4209-bd51-8faf63e9b471 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration All in one bad weather removal using architectural search,
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Observation 04f27c6b-5e32-4472-9c07-3fe0fb2afbc1 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multimodal prompt perceiver: Empower adaptiveness, generalizability and fidelity for all-in- one image restoration,
Reference 12
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Observation d2316b6b-06d9-4614-be79-0d2f9aadaef5 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-weather degradation-aware transformer for image restoration,
Reference 13
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Observation a85ba684-0330-4f31-95f0-5a3a1f258caa · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration All-in-one image restoration for unknown degradations using adaptive discriminative filters for specific degradations,
Reference 14
Source-reported events for the cited work
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Observation ab593076-fede-4a84-b922-0ae435e11fba · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration A unified accelerator for all- in-one image restoration based on prompt degradation learning,
Reference 15
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Observation 756885f0-60b7-4a95-ae07-0f1c03e8812e · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Exploring the application of large-scale pre-trained models on adverse weather removal,
Reference 16
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Observation 4cbcd3fc-4899-4fab-825f-342de3d1f243 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Autodir: Automatic all-in-one image restoration with latent diffusion,
Reference 17
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Observation f85d47a5-5598-41d3-a9cc-7bbdc1ca1916 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Mwformer: Multi- weather image restoration using degradation-aware transformers,
Reference 18
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Observation 87a9b721-40e9-4923-9a33-ea47e88cce43 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Swinir: Image restoration using swin transformer,
Reference 19
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Observation e6bac931-24a9-424c-812f-b7ea04f303c3 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Restormer: Efficient transformer for high-resolution image restoration,
Reference 20
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Observation 0916c12a-ae81-47a7-972a-702ec31db205 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration AdaIR: Adaptive all-in-one image restoration via frequency mining and modulation,
Reference 21
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Observation c7329487-d886-41e8-b5ac-e01a94a58260 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 22
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Observation 206ef9df-32c6-4f66-bc6d-096ddf8d0c90 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation
Reference 23
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Observation e5bf1aac-2946-4a1c-80db-2e3eeacc45ea · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Adaptive mixtures of local experts,
Reference 24
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Observation 72682ae1-78e0-4d4b-8367-2239c61bda57 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Path-restore: Learning network path selection for image restoration,
Reference 25
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Observation d488a527-1624-4221-bd59-d21d56069e56 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Learning transferable visual models from natural language supervi- sion,
Reference 26
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Observation 4600a83e-c975-47b3-a2c3-27282d608146 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration
Reference 27
Source-reported events for the cited work
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Observation dfb985cb-a6cd-4acd-b205-075bdd9c5c3a · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
Reference 28
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Observation fdb923de-2863-498b-b344-2d3ca6bb4224 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Controlling vision-language models for multi-task image restoration,
Reference 29
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Observation 549b960b-c3b8-473c-832e-2232197bfe07 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration A non-local algorithm for image denoising,
Reference 30
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Observation 1c0adb3c-7091-4605-b8c3-a68818120d21 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Emergence of simple-cell receptive field properties by learning a sparse code for natural images,
Reference 31
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Observation a9860663-ed06-4f5b-b3a8-3895c5cef3c5 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising,
Reference 32
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Observation cab8329f-d41c-4887-aa0d-6e054101487d · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Lightweight image super-resolution with enhanced CNN,
Reference 33
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Observation 881898f6-9620-4ec7-8d9d-628614c3bcbf · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration An image is worth 16x16 words: Transformers for image recognition at scale,
Reference 34
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M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Mambair: A simple baseline for image restoration with state-space model,
Reference 35
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Observation d12b6838-5707-4ec7-8b6d-4060f57d70b6 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration All-in-one image restoration for unknown corruption,
Reference 36
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Observation 1f414df7-8087-4ce1-8567-26d316fae6a3 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Promptir: Prompting for all-in-one image restoration,
Reference 37
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Observation 765f3f50-48fd-4268-8138-14dd116e4859 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration PALP: prompt aligned personalization of text-to-image models,
Reference 38
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Observation 7f33f3b8-2ac0-46c2-8f7d-bf8a40c02e95 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Image dehazing transformer with transmission-aware 3d position embedding,
Reference 39
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Observation fc95352e-2e85-4c36-b069-2202bb4d0a18 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Dynamic convolution: Attention over convolution kernels,
Reference 40
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Observation 18b5e281-8e2d-442e-8c20-d032a8304eef · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Moe-diffir: Task-customized diffusion priors for univer- sal compressed image restoration,
Reference 41
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Observation 0821f32b-484e-4dd3-bed5-e7c903de8ccd · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations
Reference 42
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Observation 97ed6b5a-e6a7-4bb6-b9aa-163af8c9ce1f · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity
Reference 43
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Observation 77afecb4-0a01-411b-aef8-727e0d35ac0f · outbound
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Reference 44
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Observation 6e837bcb-5f9f-4f14-8b72-9914466f6464 · outbound
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Reference 46
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Reference 47
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Observation f4a63c22-0f2c-40bd-b888-710d6657f5b8 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Complexity Experts are Task-Discriminative Learners for Any Image Restoration
Reference 48
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Observation 1fef92dc-7a30-41d6-8247-8a10b0f1e174 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Ramir: Reasoning and action prompting with mamba for all-in-one image restoration,
Reference 49
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Reference 50
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M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration
Reference 51
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Observation 09c8ab73-2a6a-4d51-a61a-3417e7868f8f · outbound
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Reference 52
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Observation 1597f187-1cbf-485f-8687-ddcb7fe409ed · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Vision mamba: Efficient visual representation learning with bidirectional state space model,
Reference 53
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Observation 229a6010-1a16-4fa6-b4f6-e82e11f424d7 · outbound
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Reference 54
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M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
Reference 55
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Observation ce3b3a2e-c968-431a-b42f-78680abf6e63 · outbound
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Reference 57
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Observation 32e5d6d3-7c97-41be-96e8-db897bbd36c0 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Heavy rain image restoration: Integrating physics model and conditional adversarial learning,
Reference 58
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Reference 59
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Observation c351fb62-4041-49d1-99e6-d776aab7c996 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Attentive generative adversarial network for raindrop removal from a single image,
Reference 60
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Observation 09aee6ee-d601-4f31-94cf-43f525bac59f · outbound
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Reference 61
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Observation 66bd7602-6c40-4f29-962d-05635b475cc5 · outbound
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Reference 62
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Observation 0f6bb7d9-9352-4489-95e4-496761f8f1cc · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Uformer: A general u-shaped transformer for image restoration,
Reference 63
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Observation 661fcf3e-f8d6-424a-9067-1673404ae65b · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Efficient and explicit modelling of image hierarchies for image restoration,
Reference 64
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Observation 82dbf317-6b58-419a-b0be-dd30031d5227 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Transweather: Transformer-based restoration of images degraded by adverse weather conditions,
Reference 65
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Reference 66
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Observation 67f76663-b9a3-418f-b51b-7b05cae2535b · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse Weather
Reference 67
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6cbfe6e6-b663-41b2-8907-26a043820380 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Selective hourglass mapping for universal image restoration based on diffusion model,
Reference 68
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3dc8b1e1-97ee-4772-bda0-f7473ac02504 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Efficient deweahter mixture-of- experts with uncertainty-aware feature-wise linear modulation,
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f4b2418d-4fc0-4d68-8769-21acc738c5c8 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Gridformer: Residual dense transformer with grid structure for image restoration in adverse weather conditions,
Reference 70
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 213195e1-8465-4383-b338-e5cdc0663b93 · outbound
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Removing raindrops and rain streaks in one go,
Reference 71
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 534d4cac-b7aa-4709-853e-7eb434393b1f · inbound
ClusIR: Towards Cluster-Guided All-in-One Image Restoration M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b9fc1fd-7209-4707-b54c-6aac7214175e · inbound
SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration
Reference 22
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Unavailable: canonical work link unavailable.