Natural Language Supervision for Low-light Image Enhancement | Paper Citation Record

Observation 65f5dfdd-525f-4c57-86b6-c566e4bd7a65 · outbound

This paper cites Low-light homomorphic filtering network for integrating image enhancement and classification.

Natural Language Supervision for Low-light Image Enhancement Low-light homomorphic filtering network for integrating image enhancement and classification

Reference 1

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Observation f0105bbc-8f33-4b43-8dc7-1e6d99910a8e · outbound

This paper cites Video enhancement using per- pixel virtual exposures.

Natural Language Supervision for Low-light Image Enhancement Video enhancement using per- pixel virtual exposures

Reference 2

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Observation 6bdcbbf2-897f-47aa-b8b2-8b67451c3f76 · outbound

This paper cites Learning to see in the dark.

Natural Language Supervision for Low-light Image Enhancement Learning to see in the dark

Reference 3

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Observation 286bb74f-1db8-48f4-ab33-0c620bb5bcaa · outbound

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

Natural Language Supervision for Low-light Image Enhancement A simple and effective histogram equalization approach to image enhancement

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:46.977649Z

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Observation c59b2916-7e6e-49e1-8de8-614d66ea120b · outbound

This paper cites Unifying vision- and-language tasks via text generation.

Natural Language Supervision for Low-light Image Enhancement Unifying vision- and-language tasks via text generation

Reference 5

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Observation a9ec72d3-844b-431c-b9fa-4cde3a6e8ba4 · outbound

This paper cites Fast efficient algorithm for enhancement of low lighting video.

Natural Language Supervision for Low-light Image Enhancement Fast efficient algorithm for enhancement of low lighting video

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:46.764785Z

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Observation 9eb1d675-19ce-4f53-8896-9937bcf51bb6 · outbound

This paper cites Clap learning audio concepts from natural language su- pervision.

Natural Language Supervision for Low-light Image Enhancement Clap learning audio concepts from natural language su- pervision

Reference 7

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Observation f022573f-8ee7-4d39-890a-572cfc36df8c · outbound

This paper cites A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation.

Natural Language Supervision for Low-light Image Enhancement A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:46.456283Z

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Observation 0786890f-8c1b-4b23-a0dc-f40573835105 · outbound

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

Natural Language Supervision for Low-light Image Enhancement A fusion-based enhancing method for weakly illuminated images

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:46.287061Z

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Observation d9867117-a8f5-46c8-9a75-426d51649836 · outbound

This paper cites A weighted variational model for simultaneous reflectance and illumination estimation.

Natural Language Supervision for Low-light Image Enhancement A weighted variational model for simultaneous reflectance and illumination estimation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:46.174756Z

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Observation c56cab54-4451-4b60-bd4d-1abd57c139ce · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Natural Language Supervision for Low-light Image Enhancement Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:03:41.114833Z

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Observation fa5f787a-28a5-463e-9d4a-53d0f6e55403 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Zero-reference deep curve estimation for low-light image enhancement

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:46.031634Z

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Observation 2a2b3a64-a3f0-4922-ac15-5aa5895f2c74 · outbound

This paper cites Lime: Low-light image enhance- ment via illumination map estimation.

Natural Language Supervision for Low-light Image Enhancement Lime: Low-light image enhance- ment via illumination map estimation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:45.904749Z

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Observation d37b6295-0a40-4d97-92ea-6deee85437b3 · outbound

This paper cites Low- light image enhancement with semi-decoupled decomposition.

Natural Language Supervision for Low-light Image Enhancement Low- light image enhancement with semi-decoupled decomposition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:45.794752Z

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Observation 411cac80-ed81-45e9-9e0d-e25cc0259e33 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Single image haze removal using dark channel prior

Reference 15

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Observation a268a136-de1e-45cd-b738-4b6090e53429 · outbound

This paper cites Semantic segmentation of underwater imagery: Dataset and benchmark.

Natural Language Supervision for Low-light Image Enhancement Semantic segmentation of underwater imagery: Dataset and benchmark

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:45.549903Z

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Observation 4cf581ba-0e73-4331-b749-c1ebd2ed2d95 · outbound

This paper cites Perceiver: General perception with iterative attention.

Natural Language Supervision for Low-light Image Enhancement Perceiver: General perception with iterative attention

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:45.434823Z

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Observation 58f531de-47b6-41a3-8ae2-6fc867614af7 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Natural Language Supervision for Low-light Image Enhancement Scaling up visual and vision-language representation learning with noisy text supervision

Reference 18

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Observation 4d5a36bc-cedb-4913-b5e0-d161f4007383 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Enlightengan: Deep light enhancement without paired supervision

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:45.173166Z

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Observation e55629d0-06d6-4033-93cc-f8182da48d86 · outbound

This paper cites A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models.

Natural Language Supervision for Low-light Image Enhancement A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models

Reference 20

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Observation bf0144c8-2a88-49ea-b227-af649fafb776 · outbound

This paper cites A multiscale retinex for bridging the gap between color images and the human obser- vation of scenes.

Natural Language Supervision for Low-light Image Enhancement A multiscale retinex for bridging the gap between color images and the human obser- vation of scenes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:45.050044Z

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Observation 89379afa-fed6-48b5-bd3e-e2d7e837d3cf · outbound

This paper cites Prompting visual-language models for efficient video understanding.

Natural Language Supervision for Low-light Image Enhancement Prompting visual-language models for efficient video understanding

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.904758Z

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Observation 7c3cf650-8bec-47e8-b33d-415298c5479a · outbound

This paper cites Contrast enhancement using brightness preserving bi-histogram equalization.

Natural Language Supervision for Low-light Image Enhancement Contrast enhancement using brightness preserving bi-histogram equalization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.804752Z

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Observation d41ce0d9-dc96-4155-a75e-48da8aa70397 · outbound

This paper cites Madnet: a fast and lightweight network for single-image super resolution.

Natural Language Supervision for Low-light Image Enhancement Madnet: a fast and lightweight network for single-image super resolution

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.742427Z

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Observation f1b599e8-53b0-40db-bbf3-db3f416f76fe · outbound

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

Natural Language Supervision for Low-light Image Enhancement Learning to enhance low-light image via zero-reference deep curve estimation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.652068Z

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Observation b1663205-f930-413e-a565-fcf0130670ef · outbound

This paper cites Lightennet: A convolutional neural network for weakly illuminated image enhance- ment.

Natural Language Supervision for Low-light Image Enhancement Lightennet: A convolutional neural network for weakly illuminated image enhance- ment

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.627195Z

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Observation df65e7a4-a043-4809-b1a3-9fb661be5935 · outbound

This paper cites Low-light image enhance- ment via progressive-recursive network.

Natural Language Supervision for Low-light Image Enhancement Low-light image enhance- ment via progressive-recursive network

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.564644Z

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Observation 532098f6-2dc7-438a-a337-5d8c9c7cc21a · outbound

This paper cites Dslr: Deep stacked laplacian restorer for low-light image enhancement.

Natural Language Supervision for Low-light Image Enhancement Dslr: Deep stacked laplacian restorer for low-light image enhancement

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.506244Z

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Observation 151a62c8-7aeb-4c34-9eb0-3359cfad45a0 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.447510Z

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Observation 0adb1531-caea-46db-bc41-c62142b0cf6d · outbound

This paper cites Ssd: Single shot multibox detector.

Natural Language Supervision for Low-light Image Enhancement Ssd: Single shot multibox detector

Reference 30

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Observation e2bd48a3-975c-4a87-b041-8672966fec9d · outbound

This paper cites Llnet: A deep autoencoder approach to natural low-light image enhancement.

Natural Language Supervision for Low-light Image Enhancement Llnet: A deep autoencoder approach to natural low-light image enhancement

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.379908Z

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Observation dea3995e-8d8b-4558-b417-5bae2229fb92 · outbound

This paper cites Learning deep context-sensitive decomposition for low-light image enhancement.

Natural Language Supervision for Low-light Image Enhancement Learning deep context-sensitive decomposition for low-light image enhancement

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.311848Z

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Observation 5ed80c03-446b-433c-a8a4-c524d0843a9d · outbound

This paper cites Contrast-limited adaptive histogram equalization: Speed and effectiveness stephen m.

Natural Language Supervision for Low-light Image Enhancement Contrast-limited adaptive histogram equalization: Speed and effectiveness stephen m

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.184739Z

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Observation 4cbb9104-2ace-4011-8e62-ab67a2c423df · outbound

This paper cites Ffa-net: Feature fusion attention network for single image dehazing.

Natural Language Supervision for Low-light Image Enhancement Ffa-net: Feature fusion attention network for single image dehazing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:44.072841Z

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Observation fd66e77b-9be4-40e0-ad2d-d0feb1958489 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Natural Language Supervision for Low-light Image Enhancement Learning transferable visual models from natural language supervision

Reference 35

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Observation 1745748c-94df-47c8-8f86-9e68972c7670 · outbound

This paper cites Denseclip: Language-guided dense prediction with context-aware prompting.

Natural Language Supervision for Low-light Image Enhancement Denseclip: Language-guided dense prediction with context-aware prompting

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.944757Z

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Observation dd46b8d0-8d58-40a3-bb3a-8f86a30a5e31 · outbound

This paper cites Low-light image enhancement via a deep hybrid network.

Natural Language Supervision for Low-light Image Enhancement Low-light image enhancement via a deep hybrid network

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.906014Z

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Observation 22339277-ca5f-4cbb-b2e5-8617d40e51a6 · outbound

This paper cites How Much Can CLIP Benefit Vision-and-Language Tasks?.

Natural Language Supervision for Low-light Image Enhancement How Much Can CLIP Benefit Vision-and-Language Tasks?

Reference 38

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Observation 81f1cfc5-bfac-4e8a-a0a5-79b76b371198 · outbound

This paper cites Ll-unet++: Unet++ based nested skip connections network for low-light image enhancement.

Natural Language Supervision for Low-light Image Enhancement Ll-unet++: Unet++ based nested skip connections network for low-light image enhancement

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.745899Z

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Observation 78031386-5464-40ff-ba41-886d3b013d9a · outbound

This paper cites Automatically designing cnn architectures using the genetic algorithm for image classification.

Natural Language Supervision for Low-light Image Enhancement Automatically designing cnn architectures using the genetic algorithm for image classification

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.654147Z

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Observation 19730196-6b84-46e0-9931-4485f7286b4b · outbound

This paper cites Attention is all you need.

Natural Language Supervision for Low-light Image Enhancement Attention is all you need

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:03:41.513559Z

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Observation fae122b0-8c1d-4eb3-aa45-8d16364541c7 · outbound

This paper cites Light- ening network for low-light image enhancement.

Natural Language Supervision for Low-light Image Enhancement Light- ening network for low-light image enhancement

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.467478Z

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Observation c90d61f7-a11e-4565-9bf6-1d1883b0d333 · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

Natural Language Supervision for Low-light Image Enhancement ActionCLIP: A New Paradigm for Video Action Recognition

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:03:41.599498Z

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Observation 273fe0c3-d0b3-4a95-a350-4c3847369afa · outbound

This paper cites Naturalness preserved enhancement algorithm for non-uniform illumination images.

Natural Language Supervision for Low-light Image Enhancement Naturalness preserved enhancement algorithm for non-uniform illumination images

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.416400Z

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Observation 736e1f62-2e31-4661-8c48-4fb7c2e43488 · outbound

This paper cites Learning transferable human-object interaction detector with natural language supervision.

Natural Language Supervision for Low-light Image Enhancement Learning transferable human-object interaction detector with natural language supervision

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.370850Z

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Observation 6017ab27-0d92-43e2-934f-60e7131f3d88 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Ultra-high-definition low-light image enhancement: A benchmark and transformer-based method

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.238774Z

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Observation ead8b040-bfe0-4111-bcb4-e922266beb89 · outbound

This paper cites Image enhancement based on equal area dualistic sub-image histogram equalization method.

Natural Language Supervision for Low-light Image Enhancement Image enhancement based on equal area dualistic sub-image histogram equalization method

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.214634Z

Source-reported events for the cited work

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Observation 3eb3fd5c-e02e-432f-87a0-c2d60f6252b2 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Uformer: A general u-shaped transformer for image restoration

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.193776Z

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Observation 1d629ac2-88ad-461c-9a45-6f58e69306fd · outbound

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

Natural Language Supervision for Low-light Image Enhancement Image quality assessment: from error visibility to structural similarity

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:03:41.663898Z

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Observation 13704c51-2728-409f-a6bc-b1560b474b03 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

Natural Language Supervision for Low-light Image Enhancement Deep Retinex Decomposition for Low-Light Enhancement

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:03:41.681163Z

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Observation 453c231c-d36e-4b74-adaf-064a154265db · outbound

This paper cites Multi- modality cross attention network for image and sentence matching.

Natural Language Supervision for Low-light Image Enhancement Multi- modality cross attention network for image and sentence matching

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.163906Z

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Observation c984a5bf-12dc-451c-8d35-2d64249914c1 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.135810Z

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Observation 9ace01f9-1ae4-4866-abab-fbd180a8730f · outbound

This paper cites Learning to restore low-light images via decomposition-and-enhancement.

Natural Language Supervision for Low-light Image Enhancement Learning to restore low-light images via decomposition-and-enhancement

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.111746Z

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Observation 4ef5f0d6-35c5-4e3a-894a-258f0ef05a2f · outbound

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

Natural Language Supervision for Low-light Image Enhancement Snr- aware low-light image enhancement

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.086528Z

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Observation 8e9086c8-bb20-4773-b8b6-051c273ddfc9 · outbound

This paper cites From fidelity to perceptual quality: A semi-supervised approach for low- light image enhancement.

Natural Language Supervision for Low-light Image Enhancement From fidelity to perceptual quality: A semi-supervised approach for low- light image enhancement

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.058901Z

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Observation 877ea478-4540-40e4-b4ef-495963bcd287 · outbound

This paper cites A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement.

Natural Language Supervision for Low-light Image Enhancement A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement

Reference 56

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Observation 40dbb0cf-b67d-4079-8003-150689496e26 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Restormer: Efficient transformer for high-resolution image restoration

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:43.034640Z

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Observation 025f527f-6fad-4d15-bb83-fff2e9a1201d · outbound

This paper cites Learning enriched features for real image restoration and enhancement.

Natural Language Supervision for Low-light Image Enhancement Learning enriched features for real image restoration and enhancement

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:42.964750Z

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Observation 01f50b1d-81f0-4688-acb7-ff6072559527 · outbound

This paper cites Be- yond brightening low-light images.

Natural Language Supervision for Low-light Image Enhancement Be- yond brightening low-light images

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:42.929729Z

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Observation 9e347197-1f11-4825-befa-d322bc2ed046 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Kindling the darkness: A practical low-light image enhancer

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:42.874753Z

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Observation ef656efa-61cf-4944-bc56-a558c909a3e4 · outbound

This paper cites Deep color consistent network for low-light image enhancement.

Natural Language Supervision for Low-light Image Enhancement Deep color consistent network for low-light image enhancement

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:42.787677Z

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Observation 94d2dbfd-808f-4a26-95a8-38d06c85c670 · outbound

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

Natural Language Supervision for Low-light Image Enhancement Retinexdip: A unified deep framework for low-light image enhancement

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:42.757663Z

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Observation fca20e5b-959e-48e7-aee0-2a0a43634372 · outbound

This paper cites Learning to generate scene graph from natural language supervision.

Natural Language Supervision for Low-light Image Enhancement Learning to generate scene graph from natural language supervision

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:42.725073Z

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Observation 8fe663ce-7616-446b-aff7-65327c7eba3a · outbound

This paper cites Learning to prompt for vision-language models.

Natural Language Supervision for Low-light Image Enhancement Learning to prompt for vision-language models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T21:03:42.124750Z

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Observation 187836df-38ab-4774-afed-c8974ce71836 · outbound

This paper cites Enlightening low-light images with dynamic guidance for context enrichment.

Natural Language Supervision for Low-light Image Enhancement Enlightening low-light images with dynamic guidance for context enrichment

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:03:42.594748Z

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