Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration | Paper Citation Record

Observation 43437226-156f-4cd5-9127-3908818976ea · outbound

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

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Single image haze removal using dark channel prior

Reference 1

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Observation 4e22d771-051d-48cb-80c3-47629b302c91 · outbound

This paper cites Imu-assisted accurate blur kernel re- estimation in non-uniform camera shake deblurring,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Imu-assisted accurate blur kernel re- estimation in non-uniform camera shake deblurring,

Reference 2

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Observation 5b0892b7-b3d2-4117-88cb-023010d96f0d · outbound

This paper cites Learning physics-informed noise models from dark frames for low-light raw image denoising,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Learning physics-informed noise models from dark frames for low-light raw image denoising,

Reference 3

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Observation d8efe170-5e4d-4308-b5e3-548f06676abb · outbound

This paper cites Emphasizing crucial features for efficient image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Emphasizing crucial features for efficient image restoration,

Reference 4

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Observation 4c5e2858-5ed1-49be-9dc6-7d4347dc068a · outbound

This paper cites Starir: Convolutional image restoration with spatial-frequency fusion,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Starir: Convolutional image restoration with spatial-frequency fusion,

Reference 5

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Observation 82f08999-c445-44fe-b86e-4a58d2596434 · outbound

This paper cites Mixed hierarchy network for image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Mixed hierarchy network for image restoration,

Reference 6

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Observation 11e16315-1beb-445f-96a7-5165a51c7666 · outbound

This paper cites Dswinir: Rethinking window-based attention for image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Dswinir: Rethinking window-based attention for image restoration,

Reference 7

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Observation 51035a13-15f8-4cbb-ad34-2aa6d8752529 · outbound

This paper cites Learning continuous wasser- stein barycenter space for generalized all-in-one image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Learning continuous wasser- stein barycenter space for generalized all-in-one image restoration,

Reference 8

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Observation 5c86842c-e386-459f-a433-5c270b695420 · outbound

This paper cites All-in-one transformer for image restoration under adverse weather degradations,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration All-in-one transformer for image restoration under adverse weather degradations,

Reference 9

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Observation 182f772c-5b0d-46ec-8403-87c6f618b617 · outbound

This paper cites Learning enriched features via selective state spaces model for efficient image deblurring,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Learning enriched features via selective state spaces model for efficient image deblurring,

Reference 10

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Observation aa29c81a-a1f5-4ddc-a7ed-82d4898dcec3 · outbound

This paper cites Tsp-mamba: The travelling salesman problem meets mamba for image super-resolution and beyond,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Tsp-mamba: The travelling salesman problem meets mamba for image super-resolution and beyond,

Reference 11

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Observation 6c77912d-fa8c-410e-ac1c-16e551831bc3 · outbound

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

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Mambair: A simple baseline for image restoration with state-space model,

Reference 12

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Observation e7c2eed0-4bd5-4911-98e9-882ac419493b · outbound

This paper cites Mambairv2: Attentive state space restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Mambairv2: Attentive state space restoration,

Reference 13

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Observation 6c348290-13c7-4b38-bf3c-bc470580ae01 · outbound

This paper cites Mbmamba: When memory buffer meets mamba for structure-aware image deblurring,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Mbmamba: When memory buffer meets mamba for structure-aware image deblurring,

Reference 14

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Observation 2c7d14e3-d7fe-427e-9e66-651a8878d331 · outbound

This paper cites Learn- ing optimal combination patterns for lightweight stereo image super- resolution,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Learn- ing optimal combination patterns for lightweight stereo image super- resolution,

Reference 15

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Observation a53686a8-367c-489a-bbff-86da737e2b4a · outbound

This paper cites Image restoration via frequency selection,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Image restoration via frequency selection,

Reference 16

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Observation 1dd42022-232f-45eb-8bf1-5ec9378cef08 · outbound

This paper cites Prompt- based ingredient-oriented all-in-one image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Prompt- based ingredient-oriented all-in-one image restoration,

Reference 17

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Observation af7e1421-f916-47c1-b245-2251c9625e78 · outbound

This paper cites Frequency domain task-adaptive network for restoring images with combined degradations,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Frequency domain task-adaptive network for restoring images with combined degradations,

Reference 18

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Observation 41a3103e-9805-4689-b49a-d8f6ab916c5c · outbound

This paper cites Xyscannet: An interpretable state space model for perceptual image deblurring,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Xyscannet: An interpretable state space model for perceptual image deblurring,

Reference 19

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Observation 51c16e5f-cacc-4f68-99f6-d8041aa8df7a · outbound

This paper cites Efficientderain+: Learning uncertainty-aware filtering via rainmix augmentation for high-efficiency deraining,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Efficientderain+: Learning uncertainty-aware filtering via rainmix augmentation for high-efficiency deraining,

Reference 20

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Observation 9f86cac0-a19f-49f9-84c9-5d36fdfee01d · outbound

This paper cites Prior-guided hierarchical harmonization net- work for efficient image dehazing,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Prior-guided hierarchical harmonization net- work for efficient image dehazing,

Reference 21

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Observation 62cd4e64-891f-4397-872e-d75a783f7029 · outbound

This paper cites Unpaired photo-realistic image deraining with energy-informed diffusion model,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Unpaired photo-realistic image deraining with energy-informed diffusion model,

Reference 22

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Observation 9f9af03a-ad3c-467a-b627-b79d00d3101a · outbound

This paper cites Unmix- ing diffusion for self-supervised hyperspectral image denoising,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Unmix- ing diffusion for self-supervised hyperspectral image denoising,

Reference 23

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Observation 0520f2dd-5acc-4deb-bd64-9cdc58bf2925 · outbound

This paper cites Selective frequency network for image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Selective frequency network for image restoration,

Reference 24

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Observation f2125582-635f-4213-bc49-3f84a8e2151d · outbound

This paper cites Acl: Activating capability of linear attention for image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Acl: Activating capability of linear attention for image restoration,

Reference 25

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Observation 93e32c64-00a1-460d-9cea-2c7ce7f8c9c8 · outbound

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

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Promptir: Prompting for all-in-one blind image restoration,

Reference 26

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Observation 3bf37883-ad1d-467e-b175-8e21bf999d30 · outbound

This paper cites Neural degradation representation learning for all-in-one image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Neural degradation representation learning for all-in-one image restoration,

Reference 27

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Observation 88ea2bf3-3dda-48ae-add6-ba9fb7f690e5 · outbound

This paper cites Vision-language gradient descent-driven all-in-one deep unfolding networks,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Vision-language gradient descent-driven all-in-one deep unfolding networks,

Reference 28

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Observation e88f2d8d-9764-4c65-92a9-93858371f369 · outbound

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

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Autodir: Automatic all-in-one image restoration with latent diffusion,

Reference 29

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Observation 3aa05374-7f68-42f3-b510-77cad76c7e2c · outbound

This paper cites Visual-instructed degradation diffusion for all-in-one image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Visual-instructed degradation diffusion for all-in-one image restoration,

Reference 30

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Observation 1165a459-ab72-4c7c-aa63-97ebfcd52944 · outbound

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

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration AdaIR: Adaptive all-in-one image restoration via frequency mining and modulation,

Reference 31

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Observation c3e0630b-e9dc-41b2-a96f-ccacfb5cba7d · outbound

This paper cites Perceive-ir: Learning to perceive degradation better for all-in-one image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Perceive-ir: Learning to perceive degradation better for all-in-one image restoration,

Reference 32

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Observation 17dd2bc0-307b-4db6-9cb0-228dcd6a02c4 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Combining recurrent, convolutional, and continuous-time models with linear state space layers,

Reference 33

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Observation 0bc5ed98-c1f6-4197-996d-5e4eaac6f9be · outbound

This paper cites Simplified state space layers for sequence modeling,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Simplified state space layers for sequence modeling,

Reference 34

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Observation 2011a060-ed44-4c91-99a7-393280b5a769 · outbound

This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,

Reference 35

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Observation 219f716b-1578-4500-8f64-2b9ce1d5fa51 · outbound

This paper cites M2restore: Mixture-of-experts-based mamba-cnn fusion framework for all-in-one image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration M2restore: Mixture-of-experts-based mamba-cnn fusion framework for all-in-one image restoration,

Reference 36

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Observation 1980a4fd-87da-490f-b0b2-fa02e4a1564d · outbound

This paper cites Aim- vr: All-in-one video restoration via dual-path mamba with frequency adaptive fusion,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Aim- vr: All-in-one video restoration via dual-path mamba with frequency adaptive fusion,

Reference 37

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Observation 6f30ead7-664e-42b6-b8fa-dd44348ea9f8 · outbound

This paper cites Liquid time- constant networks,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Liquid time- constant networks,

Reference 38

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Observation b79dc7ff-d4df-4aa0-b4a9-40cce684f133 · outbound

This paper cites Liquid structural state-space models,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Liquid structural state-space models,

Reference 39

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Observation b800f3a9-d14c-4953-a7ce-e83d5c926b61 · outbound

This paper cites Simple baselines for image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Simple baselines for image restoration,

Reference 40

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Observation 48db6f2d-b648-421c-a411-56dffd77f039 · outbound

This paper cites Multi-stage progressive image restoration,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Multi-stage progressive image restoration,

Reference 41

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Observation 5652ce52-80c1-47b7-a173-26d2e65b39d6 · outbound

This paper cites Deep joint rain detection and removal from a single image,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Deep joint rain detection and removal from a single image,

Reference 42

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Observation 3af499dc-2009-4d14-8618-0777ec46ffe5 · outbound

This paper cites Image de-raining using a conditional generative adversarial network,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Image de-raining using a conditional generative adversarial network,

Reference 43

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Observation 3f402d91-0b98-4baf-9dbd-785cacc714dd · outbound

This paper cites Removing rain from single images via a deep detail network,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Removing rain from single images via a deep detail network,

Reference 44

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Observation 8cd14b25-8dde-4a52-b390-03efe0070e58 · outbound

This paper cites Rain streak removal using layer priors,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Rain streak removal using layer priors,

Reference 45

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Observation 6eb4f9f4-376e-42d2-bf8a-80ac1e990d3d · outbound

This paper cites Density-aware single image de-raining using a multi-stream dense network,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Density-aware single image de-raining using a multi-stream dense network,

Reference 46

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Observation 94599119-eceb-4db8-ac69-2b42a356ba4f · outbound

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

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Desnownet: Context-aware deep network for snow removal,

Reference 47

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Observation 100b57f1-c7b1-4360-822e-649656022211 · outbound

This paper cites Jstasr: Joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Jstasr: Joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal,

Reference 48

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Observation f495c9e8-b0aa-45a2-b398-342be62f881f · outbound

This paper cites All snow removed: Single image desnowing algo- rithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration All snow removed: Single image desnowing algo- rithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,

Reference 49

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Observation 46d1fd7c-72d4-4a7a-8e52-dd7bc649149c · outbound

This paper cites Benchmarking single-image dehazing and beyond,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Benchmarking single-image dehazing and beyond,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-26T09:01:56.727768Z

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Observation ac21633c-f117-4d0a-9bed-915ea6be8534 · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring,

Reference 51

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Observation 5f7fbe8e-6028-4241-b9d6-deaf85581a02 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 52

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Observation bb7abf85-4bee-47d1-9ef1-2ebbe7543b44 · outbound

This paper cites Enhanced deep residual networks for single image super-resolution,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Enhanced deep residual networks for single image super-resolution,

Reference 53

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Observation b370a4b2-46e6-4ffe-b5bd-17334555709d · outbound

This paper cites Contour detection and hierarchical image segmentation,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Contour detection and hierarchical image segmentation,

Reference 54

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Observation 16059f81-a6c2-4130-b7ab-b1a1a393ab42 · outbound

This paper cites Waterloo exploration database: New challenges for image quality assessment models,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Waterloo exploration database: New challenges for image quality assessment models,

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Observation 90c623e3-f27d-46a9-88b6-d5bb5119f94a · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

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This paper cites Single image super-resolution from transformed self-exemplars,.

Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Single image super-resolution from transformed self-exemplars,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Kodak lossless true color image suite,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration The unreasonable effectiveness of deep features as a perceptual metric,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration An underwater color image quality evaluation metric,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Human-visual-system-inspired un- derwater image quality measures,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Referenceless prediction of per- ceptual fog density and perceptual image defogging,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Blind/referenceless image spatial quality evaluator,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Nima: Neural image assessment,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Msp- former: Multi-scale projection transformer for single image desnowing,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Intra and inter parser- prompted transformers for effective image restoration,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Adam: A method for stochastic optimization,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Sgdr: Stochastic gradient descent with warm restarts,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Focal network for image restoration,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Irnext: Rethinking convolutional network design for image restoration,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Deep unfolding network for image desnowing with snow shape prior,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Global modeling matters: A fast, lightweight, and effective baseline for efficient image restoration,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Dea-net: Single image dehazing based on detail-enhanced convolution and content-guided attention,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Omni-deblurring: Capturing omni-range context for image deblurring,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Human- aware motion deblurring,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Toward Real-world Single Image Deraining: A New Benchmark and Beyond

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Benchmarking single-image dehazing and beyond,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration A high-quality denoising dataset for smartphone cameras,

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Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration Reference-based multi-stage progressive restoration for multi-degraded images,

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