Paper Citation Record · LEDGER

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer

As of 12 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2412.02545.

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

pith.paper-citation-record.v1
2412.02545 v3

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:26:42.984882Z

measured 59 of 59 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:57:57.655637Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:57:57.907841Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy47
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7466c8ba-060f-4cda-8d71-521c03741854 · outbound

This paper cites Recovering intrinsic scene characteristics.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Recovering intrinsic scene characteristics

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:51.675936Z

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.

Observation 5b09c733-2df7-42ad-a9c7-01b97af3e0a8 · outbound

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

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Retinexformer: One-stage retinex- based transformer for low-light image enhancement

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:51.564396Z

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.

Observation d23ea14e-d734-43de-af34-af783fae4da6 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Emerg- ing properties in self-supervised vision transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:51.434756Z

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.

Observation b6fb6935-c2d7-4a9d-a09a-17261cb6ccf9 · outbound

This paper cites Pre-trained image processing transformer.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Pre-trained image processing transformer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:51.238831Z

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.

Observation 2c7a228e-2183-4f03-b935-5384b84f84bb · outbound

This paper cites A Comparative Study of Image Restoration Networks for General Backbone Network Design.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer A Comparative Study of Image Restoration Networks for General Backbone Network Design

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:41.014754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00f0d70-7d28-426f-bb04-4d448bf4e962 · outbound

This paper cites Activating more pixels in image super-resolution transformer.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Activating more pixels in image super-resolution transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:51.094751Z

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.

Observation 44a3101c-f0e9-4110-9bbc-cc78ad9bb83e · outbound

This paper cites Blue shadows: physical, physiological, and psychological causes.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Blue shadows: physical, physiological, and psychological causes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:50.984929Z

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.

Observation aa6d98f6-2887-4e43-a997-6d28424e84f4 · outbound

This paper cites Towards ghost- free shadow removal via dual hierarchical aggregation net- work and shadow matting GAN.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Towards ghost- free shadow removal via dual hierarchical aggregation net- work and shadow matting GAN

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:50.865842Z

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.

Observation 0763d3bf-781b-40ab-a1f3-0660e05df45a · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:41.194837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 468c838c-0376-4e53-871f-25bb81cf24cd · outbound

This paper cites Finlayson, Steven D.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Finlayson, Steven D

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:50.634938Z

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.

Observation 21555107-d3a8-4742-a0ac-5f0ed0e27f8a · outbound

This paper cites Finlayson, Steven D.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Finlayson, Steven D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:50.571910Z

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.

Observation 0e531130-d5f6-42af-b48c-e6ad439999f0 · outbound

This paper cites Finlayson, Mark S.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Finlayson, Mark S

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:50.444838Z

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.

Observation 7a19c0e1-6e62-477d-849a-8f8e1c1ad370 · outbound

This paper cites Shadowformer: Global context helps shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Shadowformer: Global context helps shadow removal

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:50.284734Z

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.

Observation ab98eee6-3755-48be-b9a3-abdaf5b6d4dc · outbound

This paper cites Shadowdiffusion: When degradation prior meets diffusion model for shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Shadowdiffusion: When degradation prior meets diffusion model for shadow removal

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:50.114815Z

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.

Observation 62e8adc6-39e6-41eb-9eca-cfeaba20d778 · outbound

This paper cites Paired regions for shadow detection and removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Paired regions for shadow detection and removal

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:49.934870Z

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.

Observation df316689-f78e-442e-a94e-d97a77a4ae4d · outbound

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

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Low-light image enhancement via breaking down the darkness

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:49.764759Z

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.

Observation dea3a974-28e6-4cb1-a8de-58967316e38a · outbound

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

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer LIME: low-light image enhancement via illumination map estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:49.574759Z

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.

Observation 271917f5-a153-4b92-a476-ff5d59abfd1b · outbound

This paper cites Neighborhood attention transformer.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Neighborhood attention transformer

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:49.424498Z

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.

Observation e53b5c8d-6c21-4918-af7b-ed5a52ea0aaa · outbound

This paper cites Shadow elimination for effective moving object detection by gaussian shadow modeling.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Shadow elimination for effective moving object detection by gaussian shadow modeling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:49.234743Z

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.

Observation fe0668b3-980d-4ad0-bd0d-5639d44eb7f5 · outbound

This paper cites Mask-shadowgan: Learning to remove shadows from unpaired data.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Mask-shadowgan: Learning to remove shadows from unpaired data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:49.074844Z

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.

Observation f6ab63ba-0e08-42bb-8b8b-84a9b189bdf1 · outbound

This paper cites Unicolor: A unified framework for multi-modal colorization with trans- former.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Unicolor: A unified framework for multi-modal colorization with trans- former

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:48.904943Z

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.

Observation 874d2e3a-d9f7-45a0-adfe-26f8fa6191f6 · outbound

This paper cites an unresolved cited work.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:48.724754Z

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.

Observation 544dea01-1590-4505-9425-72234be490d5 · outbound

This paper cites Automatic shadow detection and removal from a single image.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Automatic shadow detection and removal from a single image

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:48.544838Z

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.

Observation ba66049d-581b-4ac8-8be9-d264e2cd9594 · outbound

This paper cites The retinex theory of color vision.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer The retinex theory of color vision

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:41.854749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b94b7e9a-01ae-4f61-a696-b42b03081c70 · outbound

This paper cites Shadow removal via shadow image decomposition.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Shadow removal via shadow image decomposition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:48.275546Z

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.

Observation 9033a7a9-9832-4e1e-9c68-0d37a68dd42b · outbound

This paper cites Physics-based shadow image decomposition for shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Physics-based shadow image decomposition for shadow removal

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:48.046497Z

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.

Observation 1ad5f3ae-c6ec-4718-90c2-1fd2dc4383a6 · outbound

This paper cites Reference-based sketch image colorization using augmented-self reference and dense semantic correspondence.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Reference-based sketch image colorization using augmented-self reference and dense semantic correspondence

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:47.904766Z

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.

Observation 5e2e919e-f199-49f3-af01-f042326f1e33 · outbound

This paper cites Tsang, and Song Wang.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Tsang, and Song Wang

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:47.734891Z

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.

Observation f2516d92-2c75-40ad-b8c3-cf09f12a1aa4 · outbound

This paper cites Regional atten- tion for shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Regional atten- tion for shadow removal

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:47.554766Z

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.

Observation 5e32d0db-5984-47a2-a826-bec0176b8d81 · outbound

This paper cites A decoupled multi-task network for shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer A decoupled multi-task network for shadow removal

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:47.457806Z

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.

Observation 83421c67-3bcd-4f76-9346-166d38750659 · outbound

This paper cites an unresolved cited work.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:47.295549Z

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.

Observation ab1414c7-0b15-447c-b046-00078b96b6f2 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Swin transformer: Hierarchical vision transformer using shifted windows

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:47.134753Z

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.

Observation 7cd57d89-951c-483c-bce1-275e446a5c8e · outbound

This paper cites From shadow generation to shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer From shadow generation to shadow removal

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:46.934765Z

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.

Observation 5da5c57f-7c32-49e4-b37f-4b66eba7512f · outbound

This paper cites A convnet for the 2020s.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer A convnet for the 2020s

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:46.754756Z

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.

Observation 7bbd2d89-f1b4-4d7a-8754-075a317976a5 · outbound

This paper cites Decoupled weight decay regularization.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Decoupled weight decay regularization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:42.255025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3de0f8-bbb0-4d3e-a73f-aa2323fb4215 · outbound

This paper cites Gray2colornet: Transfer more colors from reference image.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Gray2colornet: Transfer more colors from reference image

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:46.425157Z

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.

Observation 06616763-3c96-4207-8d22-c0e5ebef7220 · outbound

This paper cites an unresolved cited work.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:46.304759Z

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.

Observation e31af352-ab08-4ec4-a248-da53562fd080 · outbound

This paper cites Physical models for moving shadow and object detection in video.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Physical models for moving shadow and object detection in video

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:46.135130Z

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.

Observation 8e29b35a-c73e-413d-81de-bfa4cb170a47 · outbound

This paper cites an unresolved cited work.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:45.974650Z

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.

Observation c44031e8-4d20-4f17-8f11-b54392986f91 · outbound

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

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer U-net: Convolutional networks for biomedical image segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:45.815096Z

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.

Observation 9d2ea39a-c0a1-461f-9286-e32495599a92 · outbound

This paper cites The shadow meets the mask: Pyramid-based shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer The shadow meets the mask: Pyramid-based shadow removal

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:45.680764Z

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.

Observation 9b756a21-9bab-45b1-81b5-7921e43770a9 · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:45.544755Z

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.

Observation 523bd617-6907-4590-b8b6-8d3ed9d78745 · outbound

This paper cites Style-guided shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Style-guided shadow removal

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:45.452051Z

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.

Observation ebf513d4-de4b-44f6-b69e-8c225c6c92fd · outbound

This paper cites Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:45.385176Z

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.

Observation 58229f23-cfc9-4624-9fa4-ad644e0d9a75 · outbound

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

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Uformer: A general u-shaped transformer for image restoration

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:45.244795Z

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.

Observation 47a842d1-4fae-47c9-8b52-378822dbcdd0 · outbound

This paper cites A bayesian approach for shadow extraction from a single image.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer A bayesian approach for shadow extraction from a single image

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:45.105449Z

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.

Observation 4c74043b-9c80-4036-9e42-89f22a7e09bd · outbound

This paper cites Vision transformer with deformable attention.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Vision transformer with deformable attention

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:44.954796Z

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.

Observation 7e2f6639-50b8-483b-a515-507b49cd90b7 · outbound

This paper cites Homoformer: Homogenized trans- former for image shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Homoformer: Homogenized trans- former for image shadow removal

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:44.821601Z

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.

Observation daabf1e3-9d10-4986-ae63-e69c728e736e · outbound

This paper cites Cretinex: A progressive color-shift aware retinex model for low-light image enhancement.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Cretinex: A progressive color-shift aware retinex model for low-light image enhancement

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:44.664755Z

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.

Observation 31d48b5f-662b-4311-9f4e-fcaabc953e3d · outbound

This paper cites Shadow removal using bilateral filtering.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Shadow removal using bilateral filtering

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:44.506459Z

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.

Observation 8443bca7-526c-4bcd-9824-1fa8cdc5452a · outbound

This paper cites Differential Transformer.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Differential Transformer

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T23:26:42.714739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae046b0-6c65-423c-a3df-62f815e0bfb0 · outbound

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

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Restormer: Efficient transformer for high-resolution image restoration

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:44.384782Z

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.

Observation ad5cbeb6-cd83-44b7-98a0-28fa6cc41fcc · outbound

This paper cites Shadow re- mover: Image shadow removal based on illumination recover- ing optimization.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Shadow re- mover: Image shadow removal based on illumination recover- ing optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:44.215152Z

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.

Observation 93257ffe-2fa0-4a3a-a206-eb15a7e4f68e · outbound

This paper cites RIS-GAN: explore residual and illumination with gen- erative adversarial networks for shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer RIS-GAN: explore residual and illumination with gen- erative adversarial networks for shadow removal

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:44.044759Z

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.

Observation ec80d8f1-e7f5-4948-b5a2-08d7efe2ef4e · outbound

This paper cites Improving shadow suppression for illumination robust face recognition.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Improving shadow suppression for illumination robust face recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:43.916345Z

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.

Observation 3070679e-b509-4885-816d-f803162f95bf · outbound

This paper cites an unresolved cited work.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:43.786802Z

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.

Observation b130c2a6-14fa-4023-9822-eba1d2085ed3 · outbound

This paper cites an unresolved cited work.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:26:43.664757Z

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.

Observation c988bb87-4ca2-424e-978a-fee2739ed08d · outbound

This paper cites Bijective mapping network for shadow removal.

ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer Bijective mapping network for shadow removal

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:26:43.485132Z

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.

Pith citing papers

Observation 478b3e20-4a32-4c60-96ad-4b941dc1db9d · inbound

NTIRE 2025 Image Shadow Removal Challenge Report cites this paper.

NTIRE 2025 Image Shadow Removal Challenge Report ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:57:57.911058Z

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.