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Paper Citation Record · LEDGER

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model

As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2607.03013.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.03013 v2

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:27:35.723390Z

measured 70 of 70 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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70 of 70 outbound references displayed

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Outbound references

Observation 0abd35ab-2fa4-4c6f-8e63-ed6881000b5e · outbound

This paper cites Zero- reference deep curve estimation for low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Zero- reference deep curve estimation for low-light image enhancement,

Reference 1

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Observation 03fe4282-3481-4490-b674-93d01a1c72f7 · outbound

This paper cites Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Retinex- former: One-stage retinex-based transformer for low-light image en- hancement,

Reference 2

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Observation b782ea73-1359-48d6-821f-97dc4f6ba503 · outbound

This paper cites Design consider- ations of color image processing pipeline for digital cameras,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Design consider- ations of color image processing pipeline for digital cameras,

Reference 3

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Observation ac72bf8b-685a-4059-9255-2700c01a8f72 · outbound

This paper cites Unity makes strength: Coalition formation-based group-buying for timely UA V data collection,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Unity makes strength: Coalition formation-based group-buying for timely UA V data collection,

Reference 4

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Observation 4e50ee8f-612c-48b5-bafd-84c31bb17d48 · outbound

This paper cites Object detection in 20 years: A survey,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Object detection in 20 years: A survey,

Reference 5

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Observation 90ec94c4-f06e-4d07-802f-9170326e5cef · outbound

This paper cites Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving,

Reference 6

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Observation 940e8ef9-395e-42ba-b1ad-bbd8d1e865fa · outbound

This paper cites SRNMSM: A deep light-weight image super resolution network using multi-scale spatial and morphological feature generating residual blocks,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model SRNMSM: A deep light-weight image super resolution network using multi-scale spatial and morphological feature generating residual blocks,

Reference 7

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Observation a0d6b6ac-c2b1-426f-9fd8-5b19b027d376 · outbound

This paper cites Self-supervised pretraining for stereoscopic image super-resolution with parallax-aware masking,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Self-supervised pretraining for stereoscopic image super-resolution with parallax-aware masking,

Reference 8

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Observation 8e230b28-a42b-423e-9e05-2de5e0386e18 · outbound

This paper cites Progressive domain translation defogging net- work for real-world fog images,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Progressive domain translation defogging net- work for real-world fog images,

Reference 9

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Observation 84840999-3e8f-4815-a694-242dd43bf00e · outbound

This paper cites DMML: deep multi-prior and multi-discriminator learning for underwater image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model DMML: deep multi-prior and multi-discriminator learning for underwater image enhancement,

Reference 10

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Observation 537a0c3e-566b-41ba-a4e2-3acff910ef01 · outbound

This paper cites A simple and effective histogram equalization approach to image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model A simple and effective histogram equalization approach to image enhancement,

Reference 11

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Observation c90c8388-7ee4-437d-a67c-90bd00b7a33b · outbound

This paper cites A real-time image processor with combining dynamic contrast ratio enhancement and inverse gamma correction for PDP,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model A real-time image processor with combining dynamic contrast ratio enhancement and inverse gamma correction for PDP,

Reference 12

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Observation 4add9caf-ba12-464a-a02d-8286c96477f5 · outbound

This paper cites Ultra-high- definition low-light image enhancement: A benchmark and transformer- based method,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Ultra-high- definition low-light image enhancement: A benchmark and transformer- based method,

Reference 13

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Observation 5075faf2-ccfe-48c7-9e55-ffbbe1a6caa3 · outbound

This paper cites Ppformer: Using pixel-wise and patch- wise cross-attention for low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Ppformer: Using pixel-wise and patch- wise cross-attention for low-light image enhancement,

Reference 14

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Observation 211c84d7-0030-4baf-9cec-546a10d17f60 · outbound

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

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 15

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Observation 017a40f9-9bc7-4af8-92bf-2128556911d5 · outbound

This paper cites Vmamba: Visual state space model,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Vmamba: Visual state space model,

Reference 16

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Observation b11b9f79-00b9-44aa-a502-d72a722682ea · outbound

This paper cites S4ND: modeling images and videos as multidimensional signals with state spaces,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model S4ND: modeling images and videos as multidimensional signals with state spaces,

Reference 17

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Observation 4bd29096-e305-4832-a16a-e4819f303107 · outbound

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

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Vision mamba: Efficient visual representation learning with bidirectional state space model,

Reference 18

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Observation ac0766df-51a3-44f0-852a-000b0d029a03 · outbound

This paper cites Squeeze-and-excitation networks,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Squeeze-and-excitation networks,

Reference 19

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Observation 9149e2f7-6a8d-4207-b920-1f6ca5e84bf8 · outbound

This paper cites Attention is all you need,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Attention is all you need,

Reference 20

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Observation 6cde3b8b-7fb7-454e-b118-d3f5b66fc426 · outbound

This paper cites Contrast enhancement based on layered difference representation of 2d histograms,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Contrast enhancement based on layered difference representation of 2d histograms,

Reference 21

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Observation cd9bd803-3730-4977-bbe3-762bdd0cb2d9 · outbound

This paper cites An adaptive gamma correction for image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model An adaptive gamma correction for image enhancement,

Reference 22

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Observation 4d46eb6c-341b-49ca-9573-bd7d2c1d87cc · outbound

This paper cites Naturalness preserved enhance- ment algorithm for non-uniform illumination images,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Naturalness preserved enhance- ment algorithm for non-uniform illumination images,

Reference 23

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Observation 9bcacf5b-1687-4ccf-abe3-ea086ad69f24 · outbound

This paper cites RIRO: from retinex- inspired reconstruction optimization model to deep low-light image enhancement unfolding network,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model RIRO: from retinex- inspired reconstruction optimization model to deep low-light image enhancement unfolding network,

Reference 24

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Observation 29726952-df73-4a83-b8dd-869a52dff070 · outbound

This paper cites Pixel-wise gamma correction mapping for low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Pixel-wise gamma correction mapping for low-light image enhancement,

Reference 25

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Observation b4f206ea-47ae-43df-b9bf-480b660066cc · outbound

This paper cites Learning a single convolutional layer model for low light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Learning a single convolutional layer model for low light image enhancement,

Reference 26

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Observation 7f72356a-743a-44fb-bce2-6a1677b07003 · outbound

This paper cites Lfienet: Light field image enhancement network by fusing exposures of lf-dslr image pairs,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Lfienet: Light field image enhancement network by fusing exposures of lf-dslr image pairs,

Reference 27

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Observation 6d7d8185-b76b-4126-9673-1f3a5422ee1b · outbound

This paper cites Snr-aware low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Snr-aware low-light image enhancement,

Reference 28

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Observation e14b2e36-aa35-456e-8b71-05bbe2896d37 · outbound

This paper cites Dual-stream adaptive convergent low-light image enhancement network based on frequency perception,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Dual-stream adaptive convergent low-light image enhancement network based on frequency perception,

Reference 29

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Observation 428085f0-1c37-4a89-b38d-2119d86d738b · outbound

This paper cites On the parameterization and initialization of diagonal state space models,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model On the parameterization and initialization of diagonal state space models,

Reference 30

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Observation a5cb32bf-fdaa-4bd7-8840-bbe97b2f8140 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Efficiently modeling long sequences with structured state spaces,

Reference 31

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Observation b316e866-db7c-4210-9790-d029738d4135 · outbound

This paper cites Image super- resolution using very deep residual channel attention networks,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Image super- resolution using very deep residual channel attention networks,

Reference 32

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Observation c4218fd2-66c2-4f39-bb2b-ef684afb93b4 · outbound

This paper cites Layer Normalization.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Layer Normalization

Reference 33

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Observation 5b08192d-0c9b-46dd-8777-6c0419896329 · outbound

This paper cites Kindling the darkness: A practical low-light image enhancer,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Kindling the darkness: A practical low-light image enhancer,

Reference 34

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Observation e802a91d-3be9-4534-a0fa-e01ed2f78790 · outbound

This paper cites Deep retinex decomposition for low-light enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Deep retinex decomposition for low-light enhancement,

Reference 35

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Observation 06c7061d-60cb-4f7b-8f20-9b926b79b044 · outbound

This paper cites Learning photo- graphic global tonal adjustment with a database of input / output image pairs,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Learning photo- graphic global tonal adjustment with a database of input / output image pairs,

Reference 36

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Observation 6b413ebf-e16f-4225-b6a7-830788a3399e · outbound

This paper cites A fusion-based enhancing method for weakly illuminated images,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model A fusion-based enhancing method for weakly illuminated images,

Reference 37

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Observation d509b39f-55f0-4485-82c3-dc023fa14a4f · outbound

This paper cites A weighted vari- ational model for simultaneous reflectance and illumination estimation,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model A weighted vari- ational model for simultaneous reflectance and illumination estimation,

Reference 38

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Observation 5f6dbbb7-6847-4d2c-ab96-db531a1cc064 · outbound

This paper cites Learning to enhance low-light image via zero-reference deep curve estimation,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Learning to enhance low-light image via zero-reference deep curve estimation,

Reference 39

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Observation 6c95e7a4-3ec4-4196-a805-9bd5e0d23c8a · outbound

This paper cites Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement,

Reference 40

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Observation 1020df36-d903-47f8-a019-ddd925377bd4 · outbound

This paper cites Enlightengan: Deep light enhancement without paired supervision,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Enlightengan: Deep light enhancement without paired supervision,

Reference 41

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:b6f514580726f21b7c718e1f144fc29062c9dc0f7f68fcf4937d062324a7f5f2

Observation 8feb105f-7a9b-4e63-b9fc-305147d19335 · outbound

This paper cites Retinexdip: A unified deep framework for low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Retinexdip: A unified deep framework for low-light image enhancement,

Reference 42

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Observation 01c2fef9-ce25-4b04-a082-c5c30284d58e · outbound

This paper cites Efinet: Restoration for low-light images via enhancement-fusion iterative network,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Efinet: Restoration for low-light images via enhancement-fusion iterative network,

Reference 43

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:14961d4904fec4db65c3d34fb3fcf681a0d52f4639e08f2b0fc2ec6bd415ea03

Observation 76e1e887-4b6e-4ea6-82f9-3c76364000eb · outbound

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

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Uformer: A general u-shaped transformer for image restoration,

Reference 44

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Observation 34b00daf-a144-46fa-be4b-0cf58ba9dc74 · outbound

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

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Restormer: Efficient transformer for high-resolution image restoration,

Reference 45

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:180e13ac087556f3f356bbca095a1c412a5443fe6a90b8300d14d9dc6b7faa75

Observation aea6763d-7071-4e5b-b74f-c271063a0006 · outbound

This paper cites Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models,

Reference 46

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:a1fe92844ccc9566c573293520b9f3aa451db202f93092dfbd59f83b4cc03275

Observation f19391a2-9d54-44ce-81cf-eff63e7f00fa · outbound

This paper cites Low-light image enhancement with multi-scale attention and frequency-domain optimization,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Low-light image enhancement with multi-scale attention and frequency-domain optimization,

Reference 47

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:2798504ec9c92cb8b192bbde19e180ce36cd146610b6e4a14b5bdeaa6d477882

Observation 340e67a4-c1e1-4737-b3f9-d2bbb33f2188 · outbound

This paper cites Deep parametric retinex decomposition model for low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Deep parametric retinex decomposition model for low-light image enhancement,

Reference 48

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:d0090603b0144a315df5680e8dc551bd58cf276de4e2382fdb6b4b6d791544d2

Observation 17e9f187-bc60-4296-9b1c-9184762bf29b · outbound

This paper cites Sparse gradient regularized deep retinex network for robust low-light image enhance- ment,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Sparse gradient regularized deep retinex network for robust low-light image enhance- ment,

Reference 49

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:0529af4d8e712c9f4a816cdde2bdbca2a0a91ccf1ba46345133bd50fdfacb8ff

Observation bab50691-25fe-41d3-b324-1fe92b8c70fa · outbound

This paper cites Beyond brightening low-light images,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Beyond brightening low-light images,

Reference 50

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Observation 1a0d2bef-9d6f-4b29-863c-1bcf5762d221 · outbound

This paper cites Uretinex- net: Retinex-based deep unfolding network for low-light image enhance- ment,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Uretinex- net: Retinex-based deep unfolding network for low-light image enhance- ment,

Reference 51

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Observation 8d22f193-ed6e-4dc3-be52-26df28c35737 · outbound

This paper cites Fourllie: Boosting low-light image enhancement by fourier frequency information,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Fourllie: Boosting low-light image enhancement by fourier frequency information,

Reference 52

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Observation 7941cece-9461-46bb-b374-8a3a88ef0fcf · outbound

This paper cites Low-light image enhancement via breaking down the darkness,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Low-light image enhancement via breaking down the darkness,

Reference 53

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Observation a8b5fd60-8d71-4748-b2b7-d2975f37ce57 · outbound

This paper cites Implicit neural representation for cooperative low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Implicit neural representation for cooperative low-light image enhancement,

Reference 54

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Observation ffa965e4-cc1b-41f2-86de-1eef2a30ff2d · outbound

This paper cites Cspn: A category- specific processing network for low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Cspn: A category- specific processing network for low-light image enhancement,

Reference 55

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:98189320eb25236d56b4807dc5195f43183e3840033305f9cfd0eae848353979

Observation b73d7d9f-247b-423d-ae99-f32d15e95bcf · outbound

This paper cites Pseudo-supervised low-light image enhancement with mutual learning,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Pseudo-supervised low-light image enhancement with mutual learning,

Reference 56

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:3e96476241b55c4ca46e663c70747ecb20e4c1dc83d603a5a59cb2e0f49e0609

Observation 674b7b21-dab0-47e0-b2e1-d7e07fbfd6c4 · outbound

This paper cites DA-DRN: A degradation-aware deep retinex network for low-light image enhancement,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model DA-DRN: A degradation-aware deep retinex network for low-light image enhancement,

Reference 57

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Observation 286a515f-e3b9-466b-a3fb-1f9ab0fe1fbe · outbound

This paper cites LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network

Reference 58

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:19975ce23661577fca42d58921af6d8a9b1d214adfaa4c2be3d0f0df074fc1c2

Observation a27bfb5f-50d8-4135-8d0b-5e6d9e86ecf7 · outbound

This paper cites LIME: low-light image enhancement via illumination map estimation,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model LIME: low-light image enhancement via illumination map estimation,

Reference 59

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:03d5509d1163be495f6562afd9f20c435e8a27f0f5c0005e27ce9a72ddc168bf

Observation 4a37832e-02b5-4b4f-9cc7-5dd6f60eb534 · outbound

This paper cites Perceptual quality assessment for multi- exposure image fusion,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Perceptual quality assessment for multi- exposure image fusion,

Reference 60

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Observation 91e6d92f-d3d1-4719-a006-b631aced09e9 · outbound

This paper cites Lednet: Joint low-light enhancement and deblurring in the dark,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Lednet: Joint low-light enhancement and deblurring in the dark,

Reference 61

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Observation 052e6605-2047-408e-8103-6f37170c5e5e · outbound

This paper cites A high-quality denoising dataset for smartphone cameras,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model A high-quality denoising dataset for smartphone cameras,

Reference 62

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Observation 01d07bf4-1840-495e-9c53-5a2e6686b083 · outbound

This paper cites Scope of validity of psnr in im- age/video quality assessment,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Scope of validity of psnr in im- age/video quality assessment,

Reference 63

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Observation 5e282ffc-6fdc-42b2-8971-48694532584f · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Image quality assessment: from error visibility to structural similarity,

Reference 64

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Observation 994b705d-2198-4aec-b09e-9e381527fe89 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model The unreasonable effectiveness of deep features as a perceptual metric,

Reference 65

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Observation d8c551b1-52c6-4e39-932e-6d9152a25b06 · outbound

This paper cites Making a.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Making a

Reference 66

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Observation 899361e3-e803-47c5-ae69-073ac6fceb8c · outbound

This paper cites Learning a no-reference quality metric for single-image super-resolution,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Learning a no-reference quality metric for single-image super-resolution,

Reference 67

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Observation d232f216-8637-4bb4-b83a-199bf2769fc9 · outbound

This paper cites Adam: A method for stochastic optimization,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Adam: A method for stochastic optimization,

Reference 68

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source=pdf_text observed=2026-07-12T05:27:35.723390Z digest=sha256:c296905319a3eb0333db7d14b5bbe5df4f387c8f1c0e6505647b52558cfc2478

Observation 52fd7810-6385-40d7-ac89-dc50e89be7a5 · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts,.

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model SGDR: stochastic gradient descent with warm restarts,

Reference 69

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Observation 3c89cf16-57db-4664-90ec-e4c7261455e8 · outbound

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

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model Enhanced deep residual networks for single image super-resolution,

Reference 70

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Pith citing papers

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