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Paper Citation Record · LEDGER

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration

As of 20 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.

pith.paper-citation-record.v1
2506.07814 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:56.973964Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:57:24.371302Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

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  • verified fuzzy52
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98b48b67-3573-45b8-b5c3-f481e4245318 · outbound

This paper cites Efficient image dehazing with boundary constraint and contextual regularization,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 48b52209-7e39-4c4c-9591-0bae4f8bf8a9 · outbound

This paper cites Anchored neighborhood regression for fast example-based super-resolution,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ad4f0e85-6d89-425c-acba-ed426d3afb82 · outbound

This paper cites A fast single image haze removal algorithm using color attenuation prior,.

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,

Reference 3

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Source-reported events for the cited work

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Observation 8e3b81ea-7746-412b-8602-4f8bc2c3d091 · outbound

This paper cites Single-image super-resolution using sparse regression and natural image prior,.

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,

Reference 4

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Source-reported events for the cited work

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Observation 25b1843f-ddde-4ea1-a574-443eae62cfaa · outbound

This paper cites Single image haze removal using dark channel prior,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Single image haze removal using dark channel prior,

Reference 5

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Source-reported events for the cited work

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Observation cfa43628-6ae2-464e-92b4-709e4be497ab · outbound

This paper cites Bidirectional multi-scale implicit neural representations for image deraining,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Bidirectional multi-scale implicit neural representations for image deraining,

Reference 6

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Observation 2739bf35-3c35-44b6-a802-7c17981c3a17 · outbound

This paper cites Ucl-dehaze: toward real-world image dehazing via unsu- pervised contrastive learning,.

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,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c917832b-30d8-4449-aab5-16b31feb0992 · outbound

This paper cites Smartassign: Learning A smart knowledge assignment strategy for deraining and desnowing,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a8c3b768-f144-4a1c-b1d8-894304a53739 · outbound

This paper cites Apanet: Asymmetrical parallax attention network for efficient stereo image deraining,.

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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Source-reported events for the cited work

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Observation 96e22808-5765-4fd3-8a3f-74cc80cf9f00 · outbound

This paper cites Image desnowing via deep invertible separation,.

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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Source-reported events for the cited work

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Observation ce9c77c0-1207-4209-bd51-8faf63e9b471 · outbound

This paper cites All in one bad weather removal using architectural search,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration All in one bad weather removal using architectural search,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 04f27c6b-5e32-4472-9c07-3fe0fb2afbc1 · outbound

This paper cites Multimodal prompt perceiver: Empower adaptiveness, generalizability and fidelity for all-in- one image restoration,.

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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Source-reported events for the cited work

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Observation d2316b6b-06d9-4614-be79-0d2f9aadaef5 · outbound

This paper cites Multi-weather degradation-aware transformer for image restoration,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a85ba684-0330-4f31-95f0-5a3a1f258caa · outbound

This paper cites All-in-one image restoration for unknown degradations using adaptive discriminative filters for specific degradations,.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ab593076-fede-4a84-b922-0ae435e11fba · outbound

This paper cites A unified accelerator for all- in-one image restoration based on prompt degradation learning,.

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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Source-reported events for the cited work

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Observation 756885f0-60b7-4a95-ae07-0f1c03e8812e · outbound

This paper cites Exploring the application of large-scale pre-trained models on adverse weather removal,.

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

This paper cites Autodir: Automatic all-in-one image restoration with latent diffusion,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f85d47a5-5598-41d3-a9cc-7bbdc1ca1916 · outbound

This paper cites Mwformer: Multi- weather image restoration using degradation-aware transformers,.

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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Source-reported events for the cited work

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Observation 87a9b721-40e9-4923-9a33-ea47e88cce43 · outbound

This paper cites Swinir: Image restoration using swin transformer,.

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

This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0916c12a-ae81-47a7-972a-702ec31db205 · outbound

This paper cites AdaIR: Adaptive all-in-one image restoration via frequency mining and modulation,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c7329487-d886-41e8-b5ac-e01a94a58260 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

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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Source-reported events for the cited work

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Observation 206ef9df-32c6-4f66-bc6d-096ddf8d0c90 · outbound

This paper cites Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer Aggregation.

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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Source-reported events for the cited work

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Observation e5bf1aac-2946-4a1c-80db-2e3eeacc45ea · outbound

This paper cites Adaptive mixtures of local experts,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 72682ae1-78e0-4d4b-8367-2239c61bda57 · outbound

This paper cites Path-restore: Learning network path selection for image restoration,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d488a527-1624-4221-bd59-d21d56069e56 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4600a83e-c975-47b3-a2c3-27282d608146 · outbound

This paper cites DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration.

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

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Source-reported events for the cited work

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Observation dfb985cb-a6cd-4acd-b205-075bdd9c5c3a · outbound

This paper cites LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fdb923de-2863-498b-b344-2d3ca6bb4224 · outbound

This paper cites Controlling vision-language models for multi-task image restoration,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 549b960b-c3b8-473c-832e-2232197bfe07 · outbound

This paper cites A non-local algorithm for image denoising,.

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1c0adb3c-7091-4605-b8c3-a68818120d21 · outbound

This paper cites Emergence of simple-cell receptive field properties by learning a sparse code for natural images,.

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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Source-reported events for the cited work

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Observation a9860663-ed06-4f5b-b3a8-3895c5cef3c5 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising,.

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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raw_fallback, observed 2026-08-07T05:27:57.532198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.826755Z digest=sha256:15e62be5afbad704c5bd1f421ba4edda588a0d574667206df6680eed3c46760b

Observation cab8329f-d41c-4887-aa0d-6e054101487d · outbound

This paper cites Lightweight image super-resolution with enhanced CNN,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Lightweight image super-resolution with enhanced CNN,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.520772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.830208Z digest=sha256:250ecdfe0c5a6c4abd3819f1a6a613e21b0ffbadf0fbddd3fecf982926a49369

Observation 881898f6-9620-4ec7-8d9d-628614c3bcbf · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.510513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.833415Z digest=sha256:a2f0f80b23696622fc017968ef596a98f1b99e09c93bd5763a5ad981a4c03f8c

Observation b459ff77-f7e1-493a-89b5-f0411a65f7fe · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.498782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.837096Z digest=sha256:62a850beb8c7783c671174c24754a2f8025163b5f68ec8edf38b32e9fc5c4883

Observation d12b6838-5707-4ec7-8b6d-4060f57d70b6 · outbound

This paper cites All-in-one image restoration for unknown corruption,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.486487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.840599Z digest=sha256:94c9db5a6724ddaf8e98050ee6940c092885eff786866abdcc96338d84f957ea

Observation 1f414df7-8087-4ce1-8567-26d316fae6a3 · outbound

This paper cites Promptir: Prompting for all-in-one image restoration,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.475835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.844173Z digest=sha256:be410475a60b4ecd05660d5aba9d4478917573550e489ae534eca07c8ae61613

Observation 765f3f50-48fd-4268-8138-14dd116e4859 · outbound

This paper cites PALP: prompt aligned personalization of text-to-image models,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.464746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.847762Z digest=sha256:94760075a78045c81b03c07bca97d2be011e206c0d629b1b05408f17ab15f2b4

Observation 7f33f3b8-2ac0-46c2-8f7d-bf8a40c02e95 · outbound

This paper cites Image dehazing transformer with transmission-aware 3d position embedding,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.453683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.851557Z digest=sha256:fa29283963a0c6a228fb1cf291d7b7b25d2f36445b84b4bccffbcb078b25677f

Observation fc95352e-2e85-4c36-b069-2202bb4d0a18 · outbound

This paper cites Dynamic convolution: Attention over convolution kernels,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Dynamic convolution: Attention over convolution kernels,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.442580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.854728Z digest=sha256:c2360b1f25e66d8a8f7bde0087e27f9b9e35097f1ac8a4478c0aad42ddf0e6f9

Observation 18b5e281-8e2d-442e-8c20-d032a8304eef · outbound

This paper cites Moe-diffir: Task-customized diffusion priors for univer- sal compressed image restoration,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.431883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.858062Z digest=sha256:f10d6ff9af97211ab54187251e2419eb0a8cdd1cd6af25a076f94d3ca7d2a339

Observation 0821f32b-484e-4dd3-bed5-e7c903de8ccd · outbound

This paper cites UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.861144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.861144Z digest=sha256:ac6065a06cf6be4847d7c6a1e555605ea2c892703a01863c65bda11df7768053

Observation 97ed6b5a-e6a7-4bb6-b9aa-163af8c9ce1f · outbound

This paper cites UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.865049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.865049Z digest=sha256:b629908fbd2aa466f8a2cd579469473a8df1ea5788a82d542a90d1ffe7b3b13b

Observation 77afecb4-0a01-411b-aef8-727e0d35ac0f · outbound

This paper cites Uniuir: Considering underwater image restoration as an all-in-one learner,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Uniuir: Considering underwater image restoration as an all-in-one learner,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.869491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.869491Z digest=sha256:3b4a7b6054de74856235f998edfbc65dcfcf1fdb8a20ec559eced76d3777ab0e

Observation 6e837bcb-5f9f-4f14-8b72-9914466f6464 · outbound

This paper cites Restoring spatially-heterogeneous distortions using mixture of experts network,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Restoring spatially-heterogeneous distortions using mixture of experts network,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.421363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.876360Z digest=sha256:8ee3344882701e450cfe5951e93f1b44df0bcf5568268c7673821514846d0932

Observation c4235e0e-a63f-4fd9-8c7e-d8bef52a7dc3 · outbound

This paper cites Poisoning and Backdooring Contrastive Learning.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Poisoning and Backdooring Contrastive Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.879680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.879680Z digest=sha256:43bee63b1a08cffd86c776946b51cb6089a112ba1578a3a73731e882255730f8

Observation f4a63c22-0f2c-40bd-b888-710d6657f5b8 · outbound

This paper cites Complexity Experts are Task-Discriminative Learners for Any Image Restoration.

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

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:27:57.090834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.883143Z digest=sha256:0b40a794721d893cacd313623e5f973d5af61c7be5d6ba16f88ef1dbb56394ef

Observation 1fef92dc-7a30-41d6-8247-8a10b0f1e174 · outbound

This paper cites Ramir: Reasoning and action prompting with mamba for all-in-one image restoration,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.410697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.887273Z digest=sha256:a67bad1b5c75a72d3990203ad4fbdf779fefe54bba3527126137012366bbb047

Observation b72bf1c9-a3b0-4f10-814d-e81a6f5a2fd2 · outbound

This paper cites MatIR: A Hybrid Mamba-Transformer Image Restoration Model.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration MatIR: A Hybrid Mamba-Transformer Image Restoration Model

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.890698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.890698Z digest=sha256:d1c1f5b156a67de3a01b4f664ec4a1d252ad00e3ba0527815a89e850760d9be4

Observation d6ece63f-f135-4339-8550-3604a2dd0668 · outbound

This paper cites CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration.

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

Resolution
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no resolver link, observed 2026-08-07T05:27:56.894498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.894498Z digest=sha256:8e45966a7b88d66ca8ab8774ca94ee59917689fbc310f65945bf3573392cb517

Observation 09c8ab73-2a6a-4d51-a61a-3417e7868f8f · outbound

This paper cites Learning a multi-scale vision mamba for weather-degraded remote sensing image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Learning a multi-scale vision mamba for weather-degraded remote sensing image restoration,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.399552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.898253Z digest=sha256:cde5d2c0dde2b4d453578558de1d84ee5f5eba352045fdaecf57dd8b5edc6987

Observation 1597f187-1cbf-485f-8687-ddcb7fe409ed · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.388073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.901681Z digest=sha256:f6088fa4b6d1c31de359c855a7dcbdf69ab364f7eacbe62379cfb63d3aaec05e

Observation 229a6010-1a16-4fa6-b4f6-e82e11f424d7 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 54

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no resolver link, observed 2026-08-07T05:27:56.904948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.904948Z digest=sha256:a8846aecfce7dd5f99cfce880e889c6c065b1ed5769708e7e5fffb44e180170c

Observation 26efb527-931f-4849-a98f-b4af44b4f281 · outbound

This paper cites MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration.

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

Resolution
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no resolver link, observed 2026-08-07T05:27:56.909111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.909111Z digest=sha256:e8ffc2ea1277573c27ea9fff3c49b55b73cdfcec0c05e03b2f9a365f48c3cbdd

Observation ce3b3a2e-c968-431a-b42f-78680abf6e63 · outbound

This paper cites MambaIRv2: Attentive State Space Restoration.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration MambaIRv2: Attentive State Space Restoration

Reference 56

Resolution
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no resolver link, observed 2026-08-07T05:27:56.912991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.912991Z digest=sha256:9f6ebbf4be8539e40bdd3fbf0eb6f28757ec76b7af36b804bb5a8bd86419cdbf

Observation 986b7c36-502c-45f4-bc5c-e514856b20a5 · outbound

This paper cites Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration

Reference 57

Resolution
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no resolver link, observed 2026-08-07T05:27:56.916833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:56.916833Z digest=sha256:a426853ea7c36885167f290fb496141fabbcff0f57a7bded79cf6e857ef603a4

Observation 32e5d6d3-7c97-41be-96e8-db897bbd36c0 · outbound

This paper cites Heavy rain image restoration: Integrating physics model and conditional adversarial learning,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.376774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.920612Z digest=sha256:ed19c78935258915a8229bde9e1dac65546c02bf605f3547d1d75189d9151ffb

Observation a6c68093-2585-423c-b2be-378d2e90aaa8 · outbound

This paper cites Desnownet: Context-aware deep network for snow removal,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Desnownet: Context-aware deep network for snow removal,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.364868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.924736Z digest=sha256:f33f56ce4d860dbe02eeebb1c88b02a7f05188ab0ed80c37e4e19977e3baa7d7

Observation c351fb62-4041-49d1-99e6-d776aab7c996 · outbound

This paper cites Attentive generative adversarial network for raindrop removal from a single image,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.354419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.928530Z digest=sha256:79ebef14683a101ab9da2244097fb2573d06ab1b29f736487ceca1b6d67ec942

Observation 09aee6ee-d601-4f31-94cf-43f525bac59f · outbound

This paper cites Multi-stage progressive image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Multi-stage progressive image restoration,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.342882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.932031Z digest=sha256:82be3aa1174bb674f8a83e06182728d3cd283a32ed18df2a2baaa8b3f8d357d6

Observation 66bd7602-6c40-4f29-962d-05635b475cc5 · outbound

This paper cites Simple baselines for image restoration,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Simple baselines for image restoration,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.331226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.936795Z digest=sha256:99700e7cab870d5c81697dbd1ee16411b4dc7887e4cef7d60ae1910ae03ce5c2

Observation 0f6bb7d9-9352-4489-95e4-496761f8f1cc · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.319878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.940799Z digest=sha256:4c74b0e554fe109bc323e1eda6cc8ce607426a96030f353c17ef9defe015d8d4

Observation 661fcf3e-f8d6-424a-9067-1673404ae65b · outbound

This paper cites Efficient and explicit modelling of image hierarchies for image restoration,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.307664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.944270Z digest=sha256:99df857d1e304ea6c54bb5e3fb3ca4dd30b65a80f5ac590c1633cbafb6060d08

Observation 82dbf317-6b58-419a-b0be-dd30031d5227 · outbound

This paper cites Transweather: Transformer-based restoration of images degraded by adverse weather conditions,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.296156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.948038Z digest=sha256:f17b3e07bd494e389c59fe4c63bc73448ee93c56df033310e189fece60e68d4c

Observation aa88b280-246e-490b-9e3a-d98fece81137 · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models,.

M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration Restoring vision in adverse weather conditions with patch-based denoising diffusion models,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:27:57.282742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:27:56.952513Z digest=sha256:1f10ebab420c29e7cb7231692539f65752332f43606923263f0e7d98c9e28647

Observation 67f76663-b9a3-418f-b51b-7b05cae2535b · outbound

This paper cites Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse Weather.

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6cbfe6e6-b663-41b2-8907-26a043820380 · outbound

This paper cites Selective hourglass mapping for universal image restoration based on diffusion model,.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3dc8b1e1-97ee-4772-bda0-f7473ac02504 · outbound

This paper cites Efficient deweahter mixture-of- experts with uncertainty-aware feature-wise linear modulation,.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f4b2418d-4fc0-4d68-8769-21acc738c5c8 · outbound

This paper cites Gridformer: Residual dense transformer with grid structure for image restoration in adverse weather conditions,.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 213195e1-8465-4383-b338-e5cdc0663b93 · outbound

This paper cites Removing raindrops and rain streaks in one go,.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

Observation 534d4cac-b7aa-4709-853e-7eb434393b1f · inbound

ClusIR: Towards Cluster-Guided All-in-One Image Restoration cites this paper.

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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b9fc1fd-7209-4707-b54c-6aac7214175e · inbound

SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning cites this paper.

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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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