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Paper Citation Record · LEDGER

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP

As of 13 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2505.23743.

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

pith.paper-citation-record.v1
2505.23743 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:17.563851Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 128b8633-5851-4945-828e-e041a50f829d · outbound

This paper cites Noise flow: Noise modeling with conditional normalizing flows.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Noise flow: Noise modeling with conditional normalizing flows

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:24.133112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.150307Z digest=sha256:a40cad297bdf8fcca1067f481d98f45ac7ee17a2a283bb210923e63ab673d7dc

Observation 2dc0f5ec-b5dc-422d-a6d3-bf8a47878921 · outbound

This paper cites The perception-distortion tradeoff.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP The perception-distortion tradeoff

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:24.021752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.245781Z digest=sha256:4a8ab07d56889c4a4eac827a3e68c35988e05c1ccbbf24e8d6da44259ac1d470

Observation b1a57faf-9861-4bfc-8787-7b16d661abc7 · outbound

This paper cites Unpro- cessing images for learned raw denoising.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Unpro- cessing images for learned raw denoising

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.869101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.317684Z digest=sha256:9250e4f527c343b7dabf2658bf5286c3b568c01f5376596eec2cbabdeb1ba3d2

Observation a0257a2b-1a2c-4d07-9b76-2e3ffa2ab623 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Instructpix2pix: Learning to follow image editing instructions

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.673081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.448742Z digest=sha256:64dcbbb2377bacf094b87ad4846c4c0199e894e513b5603d833c065f972924d0

Observation 0790ae77-3cdf-48b8-b0a0-88d1c967959e · outbound

This paper cites Learning to see in the dark.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Learning to see in the dark

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.508679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.525786Z digest=sha256:927ddf79be5c3be2e9876e0531f64009e273fa4b27f5bfd32fa26fc3f4af6938

Observation b500ed4f-d5f2-4bf1-96f8-954d91080896 · outbound

This paper cites CrossViT: Cross-attention multi-scale vision transformer for image classification.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP CrossViT: Cross-attention multi-scale vision transformer for image classification

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.429361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.602574Z digest=sha256:2f9df0f5b1ad72c5dc43487a389b615b8c5ccfa4245a0dc23b5411b4a0b57add

Observation 307b06ee-8a54-4197-a747-24b28bc93c3c · outbound

This paper cites Training-free layout control with cross-attention guidance.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Training-free layout control with cross-attention guidance

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.321493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.755889Z digest=sha256:ec3a75eaa906bc8dff9dd10587dc10c99fa9ef8884f17da979cda4be20e120a8

Observation bce12096-ead8-4970-bc94-ac7433e8cc75 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.174785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.865884Z digest=sha256:a0723d643f117f2cfbf0db17004cebbb59d9c56fa5e69e66866b059b8a5f9929

Observation f14eb92b-ea2e-4ecd-b8a4-2f044c3e89f6 · outbound

This paper cites PPformer: Using pixel-wise and patch-wise cross-attention for low-light image enhancement.Computer Vision and Image Understanding, 241:103930, 2024.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP PPformer: Using pixel-wise and patch-wise cross-attention for low-light image enhancement.Computer Vision and Image Understanding, 241:103930, 2024

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:23.015099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:13.977007Z digest=sha256:6dbc919063b45e54a03b62117817c700b4dbc72f46352bd8bd3044bafa4cc916

Observation b15134fc-dea1-4a5d-917a-0a3544273b69 · outbound

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

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Taming transformers for high-resolution image synthesis

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.839158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:14.071727Z digest=sha256:cad0e133083c5154e3873559911592f83d0f690dc96b360521c8ae179494a48c

Observation 2c2041dd-0e47-4937-976b-86a7df454e2e · outbound

This paper cites Generative diffusion prior for unified image restoration and enhancement.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Generative diffusion prior for unified image restoration and enhancement

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.634793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:14.158126Z digest=sha256:6a77f7f0ac04c1fd7f66fa09a2ae3cec3649aa765fb69dfc17afb761377c5502

Observation 1db64bf7-7a84-46a1-bcad-1b6fdd5a0e54 · outbound

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

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Implicit diffusion models for continuous super-resolution

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.496804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:14.274964Z digest=sha256:ccb4ced09ae53b3d55ea02b3fd1752a10a77f913c6aacc1d86739ffc93b86d29

Observation 6b2acd08-b091-47f6-88d9-37bb902c6629 · outbound

This paper cites Pipal: a large-scale image quality assessment dataset for perceptual image restoration.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Pipal: a large-scale image quality assessment dataset for perceptual image restoration

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.321452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:14.400350Z digest=sha256:da40d57a63da32d08fb8048a507c5fe0260977d7c02a1a3cc83301a22331a974

Observation 71af173b-4a2c-4604-b12e-99fca86ad3e6 · outbound

This paper cites Ren, Radu Timofte, Yuan Gong, Shanshan Lao, and et al Shi, Shuwei.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Ren, Radu Timofte, Yuan Gong, Shanshan Lao, and et al Shi, Shuwei

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.199443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:14.539882Z digest=sha256:94eb695f4a50f7b5002adce40ed024bb91e3d23953ca202bbf71cc6d88744b2d

Observation 05dce9a8-d601-4152-881a-853c5ab028b0 · outbound

This paper cites Low-light image enhancement via breaking down the darkness.IJCV, 2023.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Low-light image enhancement via breaking down the darkness.IJCV, 2023

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.122581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:14.667532Z digest=sha256:23f4615823205968cf3510271929f8de76bfec13e38ca77fe6bb6b7bad9a5e22

Observation 28bc512b-454e-466b-8416-e854199a1996 · outbound

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

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Lime: Low-light image enhancement via illumination map estimation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:22.006243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:14.769109Z digest=sha256:42c473964c80d6e742a4a099d1c883cd5646470706e03de9b3376925f58052a8

Observation abc1590e-a57e-4639-8b05-b9a37a78bb2b · outbound

This paper cites Burst photography for high dynamic range and low-light imaging on mobile cameras.ACM TOG, 2016.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Burst photography for high dynamic range and low-light imaging on mobile cameras.ACM TOG, 2016

Reference 17

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raw_fallback, observed 2026-08-07T12:44:21.893323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:14.848388Z digest=sha256:65c3bec9784c428c929c16d88c0ae005927caf3c2a5821378a42164cd4a8ab62

Observation 96f12c6b-f3e7-49c7-8dd7-f75306786ff0 · outbound

This paper cites Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model

Reference 18

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unresolved
no resolver link, observed 2026-08-07T12:44:14.929233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:14.929233Z digest=sha256:1cd9fb39dac14fc91490ed16eab960c94f50ea0d481d819791d88b7c54122c5e

Observation afb0dd7e-283d-4774-8164-29a7958d53e2 · outbound

This paper cites Diffusion Models in Low-Level Vision: A Survey.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Diffusion Models in Low-Level Vision: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:14.991001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:14.991001Z digest=sha256:536d54abd7fa8a6abb74de98f1d17297a7970758f04e1c48f62f8a54d5b9bf9b

Observation dfd0b447-d527-44c6-b731-10b5d0b844e8 · outbound

This paper cites Prompt-to- prompt image editing with cross-attention control.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Prompt-to- prompt image editing with cross-attention control

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:21.680520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.058949Z digest=sha256:663cb1887e3aeab6520177a70678f0e429ee829375062ed80fbcbc1c126d2c5a

Observation 7827ab52-2c44-493c-82b1-6777d5705575 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Classifier-Free Diffusion Guidance

Reference 21

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unresolved
no resolver link, observed 2026-08-07T12:44:15.128510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:15.128510Z digest=sha256:0a985528a410f1fc3304c89331e0d4c337b7ae43ad52cebdf983fd96baedf541

Observation 8a3d0d3f-7e3a-48d3-bad1-ef5e2ac160ce · outbound

This paper cites Denoising diffusion probabilistic models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Denoising diffusion probabilistic models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:21.592347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.159535Z digest=sha256:96fad7d4ceb9a47d4445175f2d3465c9b4af9fd1bef1a636687e33e132b66b7e

Observation 4c3bd6e0-6b4b-4cc3-9c81-7c45a5fa58ae · outbound

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

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Global structure-aware diffusion process for low-light image enhancement

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:21.493803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.188863Z digest=sha256:1516af4289729c866b45993aa98994df4770ff60542005eb5135f8e74fb7e844

Observation 25b7faaa-32de-49f6-8e8a-a4da99bedc0d · outbound

This paper cites Low-light image enhancement with wavelet-based diffusion models.ACM TOG, 2023.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Low-light image enhancement with wavelet-based diffusion models.ACM TOG, 2023

Reference 24

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raw_fallback, observed 2026-08-07T12:44:21.379803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.220896Z digest=sha256:b98bdd15ba566b0fe951dd75d06af5d4ad6fdc3ec0f478d8c8e7f40c13e59d39

Observation b0761060-9b55-4c99-bdd2-76bd87050202 · outbound

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

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:21.296045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.251024Z digest=sha256:64ae5b47d504dad181fb2fcaebe90e8f9ab33cf1cc03e88fb1686068a18cd958

Observation 46e9b023-88e1-4587-9a8f-f941dea36092 · outbound

This paper cites Dnf: Decouple and feedback network for seeing in the dark.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Dnf: Decouple and feedback network for seeing in the dark

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:21.021857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.327896Z digest=sha256:d07664679fb5d3206c6e44e62da0fc12bdea7198df62e698d4a8d770952ed01f

Observation bf6131a4-f75c-4ee6-9731-cf228dc4aff2 · outbound

This paper cites Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.939599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.405613Z digest=sha256:23517dc447311d907851d153a128bd49b2c230fa6ae467c8f73386bd69aa6c79

Observation 6da3bfe5-a421-4e2d-bcac-1e5da37cea32 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Analyzing and improving the image quality of stylegan

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.784274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.479960Z digest=sha256:988f5ce3bfd10138b3c163d82be3b63b812462b14d9b0745c2cab2a7bd2d3751

Observation 4665621e-33c5-410d-a7c4-d73cd09b38bc · outbound

This paper cites Denoising diffusion restoration models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Denoising diffusion restoration models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.585245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.556313Z digest=sha256:7979eb5c3e6df44207f20f661f11d8c22b8109a418885f510bc610bfa09639e1

Observation dbba6102-6a75-4201-8eeb-b7a2e88f5d63 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Imagic: Text-based real image editing with diffusion models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.451434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.610476Z digest=sha256:02a4068475221c3a97b8b9cc6216813464a7fc36c26c1484fc39c60eece45b24

Observation 7b308851-e289-4de4-ac7b-2e08e50318dd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Adam: A Method for Stochastic Optimization

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:15.655943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:15.655943Z digest=sha256:db24a325f5dfda6f06d140932fa1294de55d8549c93d4c7344d98b51024691ea

Observation abaf5e4f-afcb-4692-acc4-179e12238a5e · outbound

This paper cites xFormers: A modular and hackable transformer modelling library.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP xFormers: A modular and hackable transformer modelling library

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.346940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.706613Z digest=sha256:e3bcc7b1e8f899485eb48f0289b1601a01b86b242722d74884a1c2bed4385917

Observation b5c88f15-86fc-441b-af1c-9d14f609d511 · outbound

This paper cites Handheld mobile photography in very low light.ACM TOG,.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Handheld mobile photography in very low light.ACM TOG,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.186493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.736445Z digest=sha256:94495e4ce5b73fb04f0d028c70f48f0d04115034ffd8ef7cf66cf4e19068f09b

Observation b440853e-afa2-4b0c-81a9-324605b415aa · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:15.789208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:15.789208Z digest=sha256:e4a5edb4451478c5be04af307a23849cde9c63dc47c2f7072738a34ec4b1f4bc

Observation b9a1aa1b-08fa-4b74-82de-7903c4003e01 · outbound

This paper cites Llnet: A deep autoencoder approach to natural low-light image enhancement.Pattern Recognition, 2017.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Llnet: A deep autoencoder approach to natural low-light image enhancement.Pattern Recognition, 2017

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.099828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.883535Z digest=sha256:baad9f84ca75bc1808e315f2420dde6d51eee32146ebfabe863ff3e35367ec94

Observation 72e5b142-c2b7-4989-b6d0-8ed177071c87 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Repaint: Inpainting using denoising diffusion probabilistic models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:20.006820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:15.936203Z digest=sha256:324b8446ce59a722cd74e9789c51e5959804eedbbb56f83e53cedc2782d6f4f5

Observation 2175a9a7-e58e-4a74-bf30-6db530618851 · outbound

This paper cites Diffusion in the dark: A diffusion model for low-light text recognition.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Diffusion in the dark: A diffusion model for low-light text recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.908195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.029561Z digest=sha256:ace824636272cfbed2a966a79d7b49143aaaf1c85990e85a0df88479c5abd80e

Observation de9cca60-a4bf-4dbb-bfe7-569d813d8eb2 · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models.IEEE TPAMI, 2023.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Restoring vision in adverse weather conditions with patch-based denoising diffusion models.IEEE TPAMI, 2023

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.829059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.101877Z digest=sha256:d692bb1259a506b939092d13dd1c905a7f636758bc419c1a0c05a5a5ab6bfab7

Observation 7f0dd0a3-53b8-4872-a27e-e983c92765fb · outbound

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

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP High-resolution image synthesis with latent diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.741154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.278071Z digest=sha256:ad10737c8205391af4091e84f24523d94940bac4470e63b2b4aaccc0cf9ec315

Observation b3963fa1-ff33-4d64-b102-7273b41b29d9 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP U-net: Convolutional networks for biomedical image segmentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.631819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.359341Z digest=sha256:79d2a3cf527f40e0ab4c5af4e0caced3052ca750c543185a827e17f94c69aa53

Observation 82807fb4-e2fe-4edd-86f7-bba462cdd2bf · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Deep unsupervised learning using nonequilibrium thermodynamics

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.551271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.437123Z digest=sha256:83dee8b3a9f3c89559c221074c89fedb075ebb8c08288381d4def27ba3819778

Observation 958dd5d5-3c91-42fd-830e-249e9b782d38 · outbound

This paper cites Denoising Diffusion Implicit Models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Denoising Diffusion Implicit Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:16.553796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:16.553796Z digest=sha256:07ddfb4e4f74392792c2713e11264293b04b29f1cf5de4cb7a613406e21597e1

Observation 5267591b-dce5-4baf-838c-3eba2171d11f · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Generative modeling by estimating gradients of the data distribution

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.414129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.643163Z digest=sha256:54ea4ecc447848f17efbe82e965c04387721b61fdac08bb21d422064245992d3

Observation b0c1129b-cd6c-4870-a059-efb12aed6ce5 · outbound

This paper cites Improved techniques for training score-based generative models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Improved techniques for training score-based generative models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.292070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.741977Z digest=sha256:85287140bfda6748da6d4dcbd4eb92803252539b037a0f38af0f8174449b40f6

Observation 93a4f634-dda3-4eb4-b6e1-44fa073635fd · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:16.824042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:16.824042Z digest=sha256:7f08a381dbe45ab9edf8f12086a6c237122056095340b379aa41509636585225

Observation ea0d67a2-065c-48af-89d3-a3c89e5aa64e · outbound

This paper cites Low-light image enhance- ment with illumination-aware gamma correction and complete image modelling network.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Low-light image enhance- ment with illumination-aware gamma correction and complete image modelling network

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.171577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.904546Z digest=sha256:9eca3363aa31210d06beed761e1ec2305b6a864b97f714c24611a6f2bfab1ccc

Observation 3fc21384-8098-408b-9475-55a6558dd9d0 · outbound

This paper cites ExposureD- iffusion: Learning to expose for low-light image enhancement.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP ExposureD- iffusion: Learning to expose for low-light image enhancement

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:19.057472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:16.996729Z digest=sha256:2b2bee497d636e74884e5dc1a447671e59770c36e98fb434fe6ca5af2083e685

Observation 81f8084a-f5b1-4d42-92a3-b36df6f2a787 · outbound

This paper cites Restoreformer: High-quality blind face restoration from undegraded key-value pairs.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Restoreformer: High-quality blind face restoration from undegraded key-value pairs

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.953345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:17.052122Z digest=sha256:51f00846788b98f8e819033c22b600d7f00e15eaf64503951402462a46958989

Observation be876ae3-f101-4e16-9287-a55b4b739d23 · outbound

This paper cites A physics-based noise formation model for extreme low-light raw denoising.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP A physics-based noise formation model for extreme low-light raw denoising

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.828967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:17.117185Z digest=sha256:823139bae41376383dfa095af10ad450f1e1bdb229aa3c5c20a07aedc0393690

Observation fce05c41-3d5e-4b56-8254-ceba2cd544a4 · outbound

This paper cites LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:17.152298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:17.152298Z digest=sha256:815c8b123ba30a766e42a5d810405d3da14d9820d15fffc7aa5b8bcb338c38a4

Observation 92d2f052-e435-409e-877c-d2c8f90a3943 · outbound

This paper cites Deblurring via stochastic refinement.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Deblurring via stochastic refinement

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.671970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:17.242801Z digest=sha256:3ec1da778abd7d9b09bff8357b7a1b53c2c2c6bc8e914a0246dd0df843c79c89

Observation f566ba79-a2d0-49a6-91a2-a0613179a116 · outbound

This paper cites Low-light image enhancement via structure modeling and guidance.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Low-light image enhancement via structure modeling and guidance

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.540923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:17.313902Z digest=sha256:718f1b8af83d8d81574ed91316d34d41e0139f5592cdfdf456143fc25f57d868

Observation e3c348f8-e57e-4364-be75-0de462ec25ec · outbound

This paper cites Diff-Retinex: Rethinking low-light image enhancement with a generative diffusion model.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Diff-Retinex: Rethinking low-light image enhancement with a generative diffusion model

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.425732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:17.385010Z digest=sha256:901f5b6b80941c3a11e08d07c5647168a06c35045a2c5a1f360fd457ed0c255b

Observation 1978b206-e6cc-4141-97f6-15ed04566285 · outbound

This paper cites Towards general low-light raw noise synthesis and modeling.

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Towards general low-light raw noise synthesis and modeling

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.256529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:17.427080Z digest=sha256:195827401cd4fbec0644b74adff0c502f90431e76d4e993201be035133a1d2bb

Observation feca16b5-863b-421a-ba94-773f9ae8edec · outbound

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

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP Adding conditional control to text-to-image diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:18.085467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:17.504384Z digest=sha256:73c1ee586dd82a703e719a7c7d8386a6666181d5a237667bf62afc793622d3ea

Observation 450be4fe-4e23-433e-bf46-9853a9b401a0 · outbound

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

DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISP The unreasonable effectiveness of deep features as a perceptual metric

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:44:17.917484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:44:17.563851Z digest=sha256:b3dfc145587e1fc0de22412dfd6db138095d7961a96abcc242e043b784af644b

Pith citing papers

No inbound Pith citation observations are available.