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Paper Citation Record · LEDGER

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement

As of 16 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2412.13655.

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

pith.paper-citation-record.v1
2412.13655 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:57:58.296761Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy52
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f39dba16-d7a9-435c-b463-60b1c3b96906 · outbound

This paper cites Learning op- timized low-light image enhancement for edge vision tasks.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Learning op- timized low-light image enhancement for edge vision tasks

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 222360d9-4e19-4d6f-9422-711de245e76b · outbound

This paper cites Optimizing observ- ing strategies for monitoring animals using drone-mounted thermal infrared cameras.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Optimizing observ- ing strategies for monitoring animals using drone-mounted thermal infrared cameras

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 41a1bc52-a1a3-48f7-995e-fd09fb37a114 · outbound

This paper cites Retinexformer: One-stage retinex- based transformer for low-light image enhancement.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Retinexformer: One-stage retinex- based transformer for low-light image enhancement

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cbf40003-fe0f-4501-b9e5-3f5a5cb59d6e · outbound

This paper cites Infrared thermal imaging in stud- ies of wild animals.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Infrared thermal imaging in stud- ies of wild animals

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.897736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6d6be4d0-316a-4cb6-9706-5bbb7135f9c2 · outbound

This paper cites Diffusion models beat gans on image synthesis.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Diffusion models beat gans on image synthesis

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.888406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 565e45b4-97b5-4f69-9871-3f0bb6833d93 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Taming transformers for high-resolution image synthesis

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.879124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.114335Z digest=sha256:2c3d2f55d4080478541174696a15719fa76cb234875d17807955c196c711a665

Observation e491fab3-2e64-4b83-b0a3-90c6bc7b17b9 · outbound

This paper cites Le-gan: Unsupervised low-light image enhancement network using attention module and identity invariant loss.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Le-gan: Unsupervised low-light image enhancement network using attention module and identity invariant loss

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 78fb4009-3745-4cfc-8371-8fba9b85d5a7 · outbound

This paper cites Image fusion based on generative adversarial network consistent with percep- tion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Image fusion based on generative adversarial network consistent with percep- tion

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.121930Z digest=sha256:d835c8b9f497ca6cb78acc7c3ab0a80b77e4fb61b1c53e7c133891778cc58432

Observation bc5ddf4b-7bbb-493a-b7e2-22fdf40f5860 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Implicit diffusion models for continuous super-resolution

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.847443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f3916483-8173-4b49-b794-1a2e619ed942 · outbound

This paper cites Practical markov chain monte carlo.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Practical markov chain monte carlo

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4aa7da42-7d88-4f08-b73d-eec8723a819d · outbound

This paper cites Denoising diffu- sion probabilistic models.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Denoising diffu- sion probabilistic models

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.132367Z digest=sha256:5a5af0e7b238d79638031e1d15ce886bca247c037a48c4d9652237f6098ffeb2

Observation c6c11635-873a-47a4-a6d6-b4f3ed8a022f · outbound

This paper cites Cascaded diffusion models for high fidelity image generation.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Cascaded diffusion models for high fidelity image generation

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:58.135933Z digest=sha256:30d8fcdd80a7416b1a39a48ca0b17d437143d6ff5aa18b1b5ab76bb5c4ca2be2

Observation 7454cf8c-82b2-4c93-aaa9-957098a67777 · outbound

This paper cites Classifier-free diffusion guidance.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Classifier-free diffusion guidance

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.139222Z digest=sha256:ed0113bd5034d7911d383c06c4428b3f20a8e87b69571abe188dfe6fb6db9c64

Observation 839eddab-daeb-411d-bc26-f9c12030055f · outbound

This paper cites Global structure-aware diffusion pro- cess for low-light image enhancement.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Global structure-aware diffusion pro- cess for low-light image enhancement

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.801356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.142341Z digest=sha256:c5c5a4931eb7c6f55f4dbe6108f455151738aa5cdc784a37dc240b3b50cf4ae5

Observation 3c6f466b-cb42-47bd-9c2f-e337872ba403 · outbound

This paper cites Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:58.146720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:58.146720Z digest=sha256:e93f057980f75d7508f53f20ba98ca368cd06aed51aac6545b8c7b9a8180852f

Observation 85ef3229-d8da-45f6-ad91-60d513733230 · outbound

This paper cites Reconet: Recurrent correc- tion network for fast and efficient multi-modality image fu- sion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Reconet: Recurrent correc- tion network for fast and efficient multi-modality image fu- sion

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.791901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.150415Z digest=sha256:f28ef809c8b3c2658865f923bc9e5a48f008434982e80f7f308c937643b03ac7

Observation 47e8c41d-9e3e-43ae-bcc2-f7e2503823f5 · outbound

This paper cites Multispectral pedestrian detection: Benchmark dataset and baseline.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Multispectral pedestrian detection: Benchmark dataset and baseline

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.782165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 18fbde83-8f25-4dc3-a589-2c32daad0599 · outbound

This paper cites A comprehensive review on in- telligent surveillance systems.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement A comprehensive review on in- telligent surveillance systems

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.771337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.156788Z digest=sha256:9c9f43adbde1bc530e2df61566c5a053c841baadabd45b6b3aa94f56eb1bcd8c

Observation a460f6b6-b347-4c1b-b368-1f042ea998ad · outbound

This paper cites Low-light image enhancement with wavelet-based diffusion models.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Low-light image enhancement with wavelet-based diffusion models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.761744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.160044Z digest=sha256:43eaa069d743baeb279a5935f521e5979f88da7a48d8aa2b754a17f235133b15

Observation 05d74d77-807b-4811-a439-67db1fed7fda · outbound

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

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Enlightengan: Deep light enhancement without paired supervision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.751295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.163553Z digest=sha256:cc829c5f5bbed4435102c6893f1e3600e0e0f9fcd2e7e06ca265e9b9d3d305d5

Observation 211dbe54-8b66-4381-9a4b-a287dc1e4013 · outbound

This paper cites Unsupervised night image enhancement: When layer decomposition meets light-effects suppression.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Unsupervised night image enhancement: When layer decomposition meets light-effects suppression

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.166785Z digest=sha256:974f047bff78d104170d549c2f2c1ab0219a8b5d606771edcbf18f561e27e49c

Observation cf0d0e62-c83f-4423-81f9-d01230742dcc · outbound

This paper cites Iterative multi-granular image editing using diffusion models.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Iterative multi-granular image editing using diffusion models

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.169944Z digest=sha256:0674d6b9f264a31debe7793f9bcc80183c4cba94ac9ad8c950b7e38ed61807b2

Observation b15b6ec0-f64b-4158-9616-e1a0805cb136 · outbound

This paper cites A deep learning based image enhancement ap- proach for autonomous driving at night.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement A deep learning based image enhancement ap- proach for autonomous driving at night

Reference 23

Resolution
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raw_fallback, observed 2026-08-11T12:57:58.721280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6802c3f7-f7f7-433d-afd0-a22f89cd67f9 · outbound

This paper cites Different input resolutions and arbitrary output resolu- tion: A meta learning-based deep framework for infrared and visible image fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Different input resolutions and arbitrary output resolu- tion: A meta learning-based deep framework for infrared and visible image fusion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.710839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cb70c241-4c56-4744-83fa-3c5ce2ffc1da · outbound

This paper cites Densefuse: A fusion approach to infrared and visible images.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Densefuse: A fusion approach to infrared and visible images

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:58.179729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b53cef9-90b7-4f4b-9b06-bf0332710fb5 · outbound

This paper cites Crossfuse: A novel cross atten- tion mechanism based infrared and visible image fusion ap- proach.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Crossfuse: A novel cross atten- tion mechanism based infrared and visible image fusion ap- proach

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.695148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 23883436-c9d3-45e3-a4f9-20f2e2db08ed · outbound

This paper cites Rfn-nest: An end-to- end residual fusion network for infrared and visible images.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Rfn-nest: An end-to- end residual fusion network for infrared and visible images

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:58.185916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:58.185916Z digest=sha256:e3823b1891faaa214bf68778645fafd3fe8dfd66a7741dc52e708ff98489a62d

Observation 7fb576e4-a090-44d9-a77e-c077730bac57 · outbound

This paper cites ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:58.189106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 77550ce8-fa1e-4d84-9e5e-c7da16f34955 · outbound

This paper cites Fusion from decomposition: A self-supervised decomposi- tion approach for image fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Fusion from decomposition: A self-supervised decomposi- tion approach for image fusion

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.679337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.192771Z digest=sha256:18c95449e58cea4ec98adf4f98d88da222e3666f7a62e2decf2ff7e52920190a

Observation a5eaa5b1-9120-43ca-8bcd-11ecf862c7e2 · outbound

This paper cites Mugan: thermal infrared image col- orization using mixed-skipping unet and generative adver- sarial network.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Mugan: thermal infrared image col- orization using mixed-skipping unet and generative adver- sarial network

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.669349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.195851Z digest=sha256:1c59082411f9888880cd8a9ada119e741bf52b1429f4b0f3c5d2bd8a38a05241

Observation 30cc9bf6-b092-4dac-8290-1e05e9286501 · outbound

This paper cites Image enhancement guided object detection in visually de- graded scenes.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Image enhancement guided object detection in visually de- graded scenes

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.660006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.199025Z digest=sha256:ba194a7bb18e07674a2b30dff964115b003479580beb65526b99a8bc88aa3c8c

Observation 08c878ad-7602-4800-9402-15ba8463ca25 · outbound

This paper cites Rxdnfuse: A aggregated residual dense network for infrared and visible image fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Rxdnfuse: A aggregated residual dense network for infrared and visible image fusion

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.650440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b6959755-254c-4d60-9464-13f1a6c91aab · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.640752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4266dbb9-1da0-4acf-96ae-1e1385e79646 · outbound

This paper cites Ddcgan: A dual-discriminator conditional gen- erative adversarial network for multi-resolution image fu- sion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Ddcgan: A dual-discriminator conditional gen- erative adversarial network for multi-resolution image fu- sion

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.631385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.208665Z digest=sha256:e78d32a7c49101cf1d8070502a1882e565513133f98b19ade930603c82f0687f

Observation b9a7a25d-73a3-418c-9406-c6da3d9e43c7 · outbound

This paper cites Fusiongan: A generative adversarial net- work for infrared and visible image fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Fusiongan: A generative adversarial net- work for infrared and visible image fusion

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.621114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.211819Z digest=sha256:c61a848cd6c87ef186f682189b9c84e05fa550f6f59676dc3ee8f401d6eeaa18

Observation 97f0ee69-8d60-4618-9087-399f57b85e51 · outbound

This paper cites No-reference image quality assessment in the spatial domain.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement No-reference image quality assessment in the spatial domain

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.611174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.215277Z digest=sha256:407f13bac7872e37699ebb3e2fbc139d1fc74dcd36faa4b18b765e84efeb8f56

Observation acc8b11e-9e8f-498b-8811-9cfae03e0c1f · outbound

This paper cites completely blind.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement completely blind

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:58.218381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:58.218381Z digest=sha256:20860e9810e7583c202051ba01d4b03c440c8e014cd79ebef8f5137fe5d2806d

Observation 4b32ba0e-ee8f-45d9-8fa1-0d79ee495f6b · outbound

This paper cites Psenet: Progressive self-enhancement network for unsuper- vised extreme-light image enhancement.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Psenet: Progressive self-enhancement network for unsuper- vised extreme-light image enhancement

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.594221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.221594Z digest=sha256:d0de9c38db9bed4f367c67dbb2508cac10b8e14f721376515cf03bae9eb5253a

Observation 251d89b7-c891-4bf7-b34d-554c37a1fb73 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement High-resolution image syn- thesis with latent diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.584083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.224788Z digest=sha256:9416ecd39ecea46ee80d61baec299d8342c58a649406589f796c1362670dfa5e

Observation 38b04866-91de-480c-b9a6-951ec245459b · outbound

This paper cites Palette: Image-to-image diffusion models.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Palette: Image-to-image diffusion models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.573162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.228090Z digest=sha256:f447208e9ae89eab6f187e737f7a76e2804d482763d6e9d809cd62448d9c9163

Observation 924f42ba-201c-461b-a178-64910604c921 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Progressive distillation for fast sampling of diffusion models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.563025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.231226Z digest=sha256:cb349e16afde8744018fd62f7433b25bac1a9cb7824af865b73c3563a5384260

Observation 146f2b17-367c-4fc2-ad7e-b76756757dba · outbound

This paper cites Nighttime visibility en- hancement by increasing the dynamic range and suppres- sion of light effects.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Nighttime visibility en- hancement by increasing the dynamic range and suppres- sion of light effects

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.552448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.234215Z digest=sha256:f40e6f300479a6ae6b0efb69e4c954fe3a84eb179be101f359067510d3dda1b2

Observation c7df6c8c-8e68-46ed-8e1f-5004b0b78a36 · outbound

This paper cites Difftalk: Crafting diffusion models for generalized audio-driven portraits animation.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Difftalk: Crafting diffusion models for generalized audio-driven portraits animation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:58.237349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:58.237349Z digest=sha256:cb7e305396881c009b9ebc7e4c3bd447e91ca913f11adc79eb4592684bf3f2f0

Observation 62d29465-eef3-493d-b3fd-03f906567199 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Deep unsupervised learning using nonequilibrium thermodynamics

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.535288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.240766Z digest=sha256:de53c5f942eac80ab04c00ef8534644b295cf99eb46319e89e8ef8a2fa600d11

Observation a35b4c88-a219-46ed-8d56-a6d909316eec · outbound

This paper cites Denois- ing diffusion implicit models.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Denois- ing diffusion implicit models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.524445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.244084Z digest=sha256:aa29a032a10c1b353eb1dd3a7a4964da70ab8bbef98e931604ea7b7c41404256

Observation 5d798326-76bd-4c76-bd51-fd16d918f4d3 · outbound

This paper cites Divfusion: Darkness-free infrared and visible im- age fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Divfusion: Darkness-free infrared and visible im- age fusion

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.513316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.247176Z digest=sha256:949f2eca3db6e2c2adb1f40992428a3b6990be2b3949934a5ef57d1d28726b43

Observation 5b4de2e6-7c21-4987-88d9-79e988f6db38 · outbound

This paper cites Piafusion: A progressive infrared and visible im- age fusion network based on illumination aware.Information Fusion, 83:79–92, 2022.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Piafusion: A progressive infrared and visible im- age fusion network based on illumination aware.Information Fusion, 83:79–92, 2022

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.501894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.250243Z digest=sha256:fe6f6695db82cb30cc40c5df82b5596271bd2e62e0dcc6fda984354af63d1b5a

Observation 0fd7ff32-0a31-4cf8-9d0e-410710a74d41 · outbound

This paper cites Attention is all you need.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Attention is all you need

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:58.253342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:58.253342Z digest=sha256:3326de5575ca6b71f95a3524ce404c329809a5ab23c4ee6ca60f7609ec9defe9

Observation ed7eb90f-25e2-4eb4-9efa-5584d48428cc · outbound

This paper cites Cs2fusion: Contrastive learning for self-supervised infrared and visible image fusion by esti- mating feature compensation map.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Cs2fusion: Contrastive learning for self-supervised infrared and visible image fusion by esti- mating feature compensation map

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.484148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.256526Z digest=sha256:9ab2345f08eaef409f6b5139a8064c2968ef98765dabbedcc63163352ec2d95c

Observation 22e73137-7a6e-4893-af66-922ecf619cb2 · outbound

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

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Uformer: A general u-shaped transformer for image restoration

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.473386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.259638Z digest=sha256:046b4ccf2f3208f16b8cc267e0867a23aec70deecb3a6daa0173743f6563b7be

Observation e9f4f0af-62c9-4021-89a2-b1a1f0b24da3 · outbound

This paper cites Classification saliency- based rule for visible and infrared image fusion.IEEE Trans- actions on Computational Imaging, 7:824–836, 2021.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Classification saliency- based rule for visible and infrared image fusion.IEEE Trans- actions on Computational Imaging, 7:824–836, 2021

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.463037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.262861Z digest=sha256:c549b9a236585272703660d95e397481ff7ab8f138d785e3189f0296d2258930

Observation e432309a-a220-4c83-85a1-390fb027aba9 · outbound

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

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Learning enriched features for real image restoration and enhancement

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.453007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.266137Z digest=sha256:1cb7b22c7a1e25290355c919b44ba4fc7ba3d228276556ee1cab8ce797c27be3

Observation eee047e0-c584-4134-802f-f491b151f547 · outbound

This paper cites Sdnet: A versatile squeeze-and- decomposition network for real-time image fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Sdnet: A versatile squeeze-and- decomposition network for real-time image fusion

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.442516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.269619Z digest=sha256:0d6d93195c8a4c1b775b8acca41021dc4cd49887ff74af51f9fcf99b04137ea1

Observation e0c210a7-2d26-4d4b-ad0c-9902b091e43e · outbound

This paper cites Rethinking the image fusion: A fast unified image fusion network based on proportional maintenance of gradient and intensity.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Rethinking the image fusion: A fast unified image fusion network based on proportional maintenance of gradient and intensity

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.431693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.273340Z digest=sha256:1efef0a86dc3f70c44aae9276634635fd88392a7d3b9867a214b23cb9c0ba209

Observation 8d940464-4a10-4165-8b0e-27b018f8bf7c · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Adding conditional control to text-to-image diffusion models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T12:57:58.276543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:57:58.276543Z digest=sha256:a6f76ee0f166b47872b919b8c590bd83fc0fd015e95122e5861881f624061406

Observation 25be11e4-e622-466a-b8c1-48579c0817f2 · outbound

This paper cites Cddfuse: Correlation-driven dual-branch feature decompo- sition for multi-modality image fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Cddfuse: Correlation-driven dual-branch feature decompo- sition for multi-modality image fusion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.412147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.279888Z digest=sha256:2a4da968af912c55e1edf52f4eb04a7c87b94d1dbab8c74afe7b26c1c34f5869

Observation 283fd79f-eb54-4efe-85bd-bdc21fd2afc4 · outbound

This paper cites Equivariant multi-modality image fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Equivariant multi-modality image fusion

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.398308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.283337Z digest=sha256:674f9b290894b3e05b41b688da161f208c98781f67a45b341d94ef426029b134

Observation 0a9335ee-c544-4672-b835-7fd3c9124162 · outbound

This paper cites Ddfm: Denoising diffusion model for multi-modality image fusion.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Ddfm: Denoising diffusion model for multi-modality image fusion

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.385244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.286734Z digest=sha256:4ee1539c27b121ade121b5784933bc480281cb5504be0c7e3a470b01575effc9

Observation e54c2134-1f88-4194-9e3e-e35a11a46c98 · outbound

This paper cites Pyramid diffusion models for low-light image enhancement.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Pyramid diffusion models for low-light image enhancement

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.372454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.289988Z digest=sha256:2ba97d9a3ed60480b25d381e06cb1d3a684d12707d249d00d550d0a90f9f6073

Observation 020920da-d369-483c-bbd6-573324cf5cb1 · outbound

This paper cites Led- net: Joint low-light enhancement and deblurring in the dark.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Led- net: Joint low-light enhancement and deblurring in the dark

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.360418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.293495Z digest=sha256:29a284b0686a6b393ccfad1121866f1e41b9883230f8c56d08c4c472e0e199c1

Observation a56cd2e3-ff6b-4401-882d-315c261ead2b · outbound

This paper cites Deformable DETR: Deformable Transform- ers for End-to-End Object Detection.

VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image Enhancement Deformable DETR: Deformable Transform- ers for End-to-End Object Detection

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:57:58.347749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:57:58.296761Z digest=sha256:c3a4b2968f7cf736f055d4578ab80001251d7b1f4dc036301fc30d8eb6531bf4

Pith citing papers

No inbound Pith citation observations are available.