OmniLight: One Model to Rule All Lighting Conditions | Paper Citation Record

Observation 439bfed9-6e05-4f6e-8972-e1322001d7dc · outbound

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

OmniLight: One Model to Rule All Lighting Conditions A high-quality denoising dataset for smartphone cameras

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.463385Z

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Observation c22baf78-6673-4064-b006-7beae6d2f347 · outbound

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

OmniLight: One Model to Rule All Lighting Conditions Retinexformer: One-stage retinex- based transformer for low-light image enhancement

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.460986Z

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Observation 214b3125-de96-4c24-ad4f-1b7bb9e47b33 · outbound

This paper cites Hinet: Half instance normalization network for image restoration.

OmniLight: One Model to Rule All Lighting Conditions Hinet: Half instance normalization network for image restoration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.458914Z

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Observation 154e6b3a-318b-487b-948e-ddbb0cc08d00 · outbound

This paper cites Simple baselines for image restoration.

OmniLight: One Model to Rule All Lighting Conditions Simple baselines for image restoration

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.456733Z

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Observation 933c1451-34fb-4214-bc61-a28726b79810 · outbound

This paper cites A comparative study of image restoration networks for general backbone network design.

OmniLight: One Model to Rule All Lighting Conditions A comparative study of image restoration networks for general backbone network design

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.452145Z

Source-reported events for the cited work

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Observation 110caa54-5944-437b-bdcf-4fa8246819e5 · outbound

This paper cites Learning contin- uous image representation with local implicit image function.

OmniLight: One Model to Rule All Lighting Conditions Learning contin- uous image representation with local implicit image function

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.454632Z

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Observation 602ade11-a121-45bd-8475-fe34b7a6ddaa · outbound

This paper cites Nafssr: Stereo image super-resolution using nafnet.

OmniLight: One Model to Rule All Lighting Conditions Nafssr: Stereo image super-resolution using nafnet

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.444983Z

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Observation 32f96572-49ac-4e4d-9ff6-ec75f7cf5ff2 · outbound

This paper cites Swin2sr: Swinv2 transformer for compressed image super-resolution and restoration.

OmniLight: One Model to Rule All Lighting Conditions Swin2sr: Swinv2 transformer for compressed image super-resolution and restoration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.447653Z

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Observation 49abcdcd-4c71-4734-a7e4-ed29e0bde2d1 · outbound

This paper cites Instruc- tir: High-quality image restoration following human instruc- tions.

OmniLight: One Model to Rule All Lighting Conditions Instruc- tir: High-quality image restoration following human instruc- tions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.468392Z

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Observation 4521efcb-e05c-4c42-a1b0-096a429105ad · outbound

This paper cites Selective frequency network for image restoration.

OmniLight: One Model to Rule All Lighting Conditions Selective frequency network for image restoration

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.449911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52a2fac9-9383-40f9-8184-9a40233e4aa4 · outbound

This paper cites Towards ghost-free shadow removal via dual hierarchical aggrega- tion network and shadow matting gan.

OmniLight: One Model to Rule All Lighting Conditions Towards ghost-free shadow removal via dual hierarchical aggrega- tion network and shadow matting gan

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.465776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc0313c9-967b-4e9b-9e92-97924084d77f · outbound

This paper cites Shadowrefiner: Towards mask-free shadow removal via fast fourier transformer.

OmniLight: One Model to Rule All Lighting Conditions Shadowrefiner: Towards mask-free shadow removal via fast fourier transformer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.262558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 28324653-fbbb-4105-af0f-607b7f21addc · outbound

This paper cites Uniprocessor: a text-induced unified low- level image processor.

OmniLight: One Model to Rule All Lighting Conditions Uniprocessor: a text-induced unified low- level image processor

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.338622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation faf73fe2-8be0-435d-ab19-8890ae4d5213 · outbound

This paper cites Auto- exposure fusion for single-image shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Auto- exposure fusion for single-image shadow removal

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.264331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9f88fbf-ab3b-4bc4-9c62-3e58d17f170a · outbound

This paper cites Prompt-based ingredient-oriented all-in- one image restoration.IEEE Transactions on Circuits and Systems for Video Technology, 34(10):9458–9471.

OmniLight: One Model to Rule All Lighting Conditions Prompt-based ingredient-oriented all-in- one image restoration.IEEE Transactions on Circuits and Systems for Video Technology, 34(10):9458–9471

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.306215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b082705-3c56-432e-83fd-58d63660d7e0 · outbound

This paper cites Pureformer: Transformer-based image denoising.

OmniLight: One Model to Rule All Lighting Conditions Pureformer: Transformer-based image denoising

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.319805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3eda4af5-5cf2-46db-8461-9d08206a54dd · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

OmniLight: One Model to Rule All Lighting Conditions Mambair: A simple baseline for image restoration with state-space model

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.318402Z

Source-reported events for the cited work

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Observation 8860c5cc-75e4-4635-a530-5be6c23147af · outbound

This paper cites Mambairv2: Attentive state space restoration.

OmniLight: One Model to Rule All Lighting Conditions Mambairv2: Attentive state space restoration

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.369928Z

Source-reported events for the cited work

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Observation 442df565-2a55-408b-83de-c4c92171aca8 · outbound

This paper cites Shadowformer: global context helps shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Shadowformer: global context helps shadow removal

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.345255Z

Source-reported events for the cited work

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Observation 29c5b963-2366-4322-8377-542fa15f6575 · outbound

This paper cites Shadowdiffusion: When degradation prior meets diffusion model for shadow re- moval.

OmniLight: One Model to Rule All Lighting Conditions Shadowdiffusion: When degradation prior meets diffusion model for shadow re- moval

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.247741Z

Source-reported events for the cited work

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Observation bce3f1f5-ecd3-4ea5-a7d3-035970efb111 · outbound

This paper cites Boundary-aware divide and conquer: A diffusion- based solution for unsupervised shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Boundary-aware divide and conquer: A diffusion- based solution for unsupervised shadow removal

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.442033Z

Source-reported events for the cited work

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Observation a157ed94-6dc4-4909-a7ad-39a32febec5c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

OmniLight: One Model to Rule All Lighting Conditions Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.270738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e7bf48e-72bb-4ab0-8334-056fd6e05168 · outbound

This paper cites Direction-aware spatial context features for shadow detection.

OmniLight: One Model to Rule All Lighting Conditions Direction-aware spatial context features for shadow detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.324932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a690e756-ac3c-4b97-852a-acaa8be543b1 · outbound

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

OmniLight: One Model to Rule All Lighting Conditions Mask-shadowgan: Learning to remove shadows from unpaired data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.276080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 98383051-8d34-4a2a-a381-7a337f11a561 · outbound

This paper cites Dc- shadownet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network.

OmniLight: One Model to Rule All Lighting Conditions Dc- shadownet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.327646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1244ebce-22f4-4770-a0e5-b2ce5d8d650e · outbound

This paper cites Des3: Adaptive attention-driven self and soft shadow removal using vit similarity.

OmniLight: One Model to Rule All Lighting Conditions Des3: Adaptive attention-driven self and soft shadow removal using vit similarity

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.427029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0512a722-59ba-4853-b18b-fca3712d4e19 · outbound

This paper cites Idf: Iterative dynamic filtering networks for generalizable image denoising.

OmniLight: One Model to Rule All Lighting Conditions Idf: Iterative dynamic filtering networks for generalizable image denoising

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.246695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a47d1cdf-8fe1-43f0-824c-efda954e3142 · outbound

This paper cites Transfer learning from synthetic to real-noise denois- ing with adaptive instance normalization.

OmniLight: One Model to Rule All Lighting Conditions Transfer learning from synthetic to real-noise denois- ing with adaptive instance normalization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.352079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ca4e1424-0013-4b52-8c27-4fc9420ad7ef · outbound

This paper cites Shadow removal via shadow image decomposition.

OmniLight: One Model to Rule All Lighting Conditions Shadow removal via shadow image decomposition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.342377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9596c1cb-f305-41b6-9a7d-34dc450e5b0b · outbound

This paper cites From shadow segmentation to shadow removal.

OmniLight: One Model to Rule All Lighting Conditions From shadow segmentation to shadow removal

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.311243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eb4d5bb7-a441-43bb-9281-8a8ba5598111 · outbound

This paper cites All-in-one image restoration for unknown corruption.

OmniLight: One Model to Rule All Lighting Conditions All-in-one image restoration for unknown corruption

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.293444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5d774cde-fe78-40b0-92ce-5c5eb27b1c7f · outbound

This paper cites Efficient and explicit modelling of image hierarchies for image restora- tion.

OmniLight: One Model to Rule All Lighting Conditions Efficient and explicit modelling of image hierarchies for image restora- tion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.303655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac2b1a67-b725-4a75-bcf2-e0dd318f122c · outbound

This paper cites Shadowmaskformer: Mask augmented patch embedding for shadow removal.IEEE Transactions on Artificial Intelligence.

OmniLight: One Model to Rule All Lighting Conditions Shadowmaskformer: Mask augmented patch embedding for shadow removal.IEEE Transactions on Artificial Intelligence

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.313936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5e7ea25a-337e-4f82-8852-62e7d558165a · outbound

This paper cites Swinir: Image restoration using swin transformer.

OmniLight: One Model to Rule All Lighting Conditions Swinir: Image restoration using swin transformer

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.287298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb516d80-390c-4ff3-9744-38bbde409313 · outbound

This paper cites Regional atten- tion for shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Regional atten- tion for shadow removal

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.433808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e611cb2a-72cc-42dd-ba21-3a39a394d27e · outbound

This paper cites Shadow removal by a lightness-guided network with training on unpaired data.IEEE Transactions on Image Processing, 30:1853–1865.

OmniLight: One Model to Rule All Lighting Conditions Shadow removal by a lightness-guided network with training on unpaired data.IEEE Transactions on Image Processing, 30:1853–1865

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.377859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aa92ce5d-7a65-4e12-b6e9-bfbb113e7317 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

OmniLight: One Model to Rule All Lighting Conditions SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:50:20.826932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c5e5ad58-3865-4f44-a49c-2279fc7a5955 · outbound

This paper cites Decoupled Weight Decay Regularization.

OmniLight: One Model to Rule All Lighting Conditions Decoupled Weight Decay Regularization

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-10T11:50:20.834818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 93bac7ed-9a21-4436-a7e8-798657ecb505 · outbound

This paper cites Latent feature-guided diffusion models for shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Latent feature-guided diffusion models for shadow removal

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.372022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c6b6caf5-9c8b-4345-a141-3c6970f0e7f6 · outbound

This paper cites Dinolight: Robust ambient light normalization with self-supervised vi- sual prior integration.

OmniLight: One Model to Rule All Lighting Conditions Dinolight: Robust ambient light normalization with self-supervised vi- sual prior integration

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:50:20.831275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e464cd84-d2f9-480b-a4b9-a7011b03330a · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

OmniLight: One Model to Rule All Lighting Conditions DINOv2: Learning Robust Visual Features without Supervision

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-10T11:50:20.822944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a81c851f-7204-4201-b7c2-f1e34c6248cf · outbound

This paper cites All- in-one image restoration for unknown degradations using adaptive discriminative filters for specific degradations.

OmniLight: One Model to Rule All Lighting Conditions All- in-one image restoration for unknown degradations using adaptive discriminative filters for specific degradations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.418087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 153923d0-4039-489e-af8a-71cccc1a7560 · outbound

This paper cites Benchmarking denoising al- gorithms with real photographs.

OmniLight: One Model to Rule All Lighting Conditions Benchmarking denoising al- gorithms with real photographs

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.262095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7526406d-c1a7-4d3b-b933-4413e6d466e1 · outbound

This paper cites Promptir: Prompting for all-in-one image restoration.

OmniLight: One Model to Rule All Lighting Conditions Promptir: Prompting for all-in-one image restoration

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.408959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4522fd18-4aa6-4dc2-87f9-42d0ed565d41 · outbound

This paper cites Deshadownet: A multi-context embed- ding deep network for shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Deshadownet: A multi-context embed- ding deep network for shadow removal

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.412069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1d421060-3e5d-4baa-a7c1-6b45a692fce9 · outbound

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

OmniLight: One Model to Rule All Lighting Conditions U-net: Convolutional networks for biomedical image segmentation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.415568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12c78142-86dd-4cf8-b311-1ad6a2fb9735 · outbound

This paper cites Promptnorm: Image geometry guides ambient light normalization.

OmniLight: One Model to Rule All Lighting Conditions Promptnorm: Image geometry guides ambient light normalization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.421200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e40ea8d1-9c22-498b-861c-c9584ba2e78e · outbound

This paper cites Vmambair: Visual state space model for image restoration.IEEE Transactions on Circuits and Systems for Video Technology.

OmniLight: One Model to Rule All Lighting Conditions Vmambair: Visual state space model for image restoration.IEEE Transactions on Circuits and Systems for Video Technology

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.424186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0aa3ad20-1348-4c2b-a471-35fc314ef063 · outbound

This paper cites Meta-transfer learning for zero-shot super-resolution.

OmniLight: One Model to Rule All Lighting Conditions Meta-transfer learning for zero-shot super-resolution

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.401519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8632471a-2b49-47dc-95bd-1224fe8ee936 · outbound

This paper cites Transweather: Transformer-based restoration of images degraded by adverse weather conditions.

OmniLight: One Model to Rule All Lighting Conditions Transweather: Transformer-based restoration of images degraded by adverse weather conditions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.379405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3167979-c3f5-47f2-aa86-3ddc7a58726b · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11).

OmniLight: One Model to Rule All Lighting Conditions Visualizing data using t-sne.Journal of machine learning research, 9(11)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.382811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 03381ad5-69fd-4d0a-9ac9-c145bc63015e · outbound

This paper cites Shadow removal with paired and unpaired learning.

OmniLight: One Model to Rule All Lighting Conditions Shadow removal with paired and unpaired learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.308886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3c9378bc-17ac-470d-b5fd-93f3f2157b6d · outbound

This paper cites Wsrd: A novel benchmark for high resolution image shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Wsrd: A novel benchmark for high resolution image shadow removal

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.407716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8678268c-5721-4ddf-9399-d7d0f7cdaf46 · outbound

This paper cites Towards image ambient lighting normalization.

OmniLight: One Model to Rule All Lighting Conditions Towards image ambient lighting normalization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.373593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aaeb77b8-cfc5-4808-a102-521e4cdfaf16 · outbound

This paper cites Ntire 2024 image shadow removal challenge report.

OmniLight: One Model to Rule All Lighting Conditions Ntire 2024 image shadow removal challenge report

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.376482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 44b6512a-814f-4de3-8fb6-e877e3606937 · outbound

This paper cites After the party: Navigating the map- ping from color to ambient lighting.

OmniLight: One Model to Rule All Lighting Conditions After the party: Navigating the map- ping from color to ambient lighting

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.406018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e23853e0-2970-4905-bfe4-d989a1db138c · outbound

This paper cites Ntire 2025 ambient lighting normalization challenge report.

OmniLight: One Model to Rule All Lighting Conditions Ntire 2025 ambient lighting normalization challenge report

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.437100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 81147bbb-1ff0-4e82-bdc9-75870cf4b6ef · outbound

This paper cites Learning- Based Ambient Lighting Normalization: NTIRE 2026 Chal- lenge Results and Findings.

OmniLight: One Model to Rule All Lighting Conditions Learning- Based Ambient Lighting Normalization: NTIRE 2026 Chal- lenge Results and Findings

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.348310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79de02e0-8f44-4c21-be56-dafac8c60e06 · outbound

This paper cites Advances in Single-Image Shadow Removal: Results from the NTIRE 2026 Challenge.

OmniLight: One Model to Rule All Lighting Conditions Advances in Single-Image Shadow Removal: Results from the NTIRE 2026 Challenge

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.336196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07c183e1-8c00-42a9-9bc9-f344c9324f4f · outbound

This paper cites Style-guided shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Style-guided shadow removal

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.340576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 612e4f12-6e79-45e6-8cc6-2f1dae4edd85 · outbound

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

OmniLight: One Model to Rule All Lighting Conditions Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.344935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fcf46902-e52f-4a54-82fa-52efb8a04d31 · outbound

This paper cites Re- covering realistic texture in image super-resolution by deep spatial feature transform.

OmniLight: One Model to Rule All Lighting Conditions Re- covering realistic texture in image super-resolution by deep spatial feature transform

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.351763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 03afe6b4-c88c-4672-9ee4-b2977641f426 · outbound

This paper cites Multiscale structural similarity for image quality assessment.

OmniLight: One Model to Rule All Lighting Conditions Multiscale structural similarity for image quality assessment

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.321647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4c0485d0-f417-436a-b968-62cb50bafbce · outbound

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

OmniLight: One Model to Rule All Lighting Conditions Uformer: A general u-shaped transformer for image restoration

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.348592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24c92a2c-9bae-491a-9f8f-75e4a29d7bf6 · outbound

This paper cites Homoformer: Homogenized transformer for image shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Homoformer: Homogenized transformer for image shadow removal

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.375075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c5757f10-f2d0-4129-aef8-44f75deb700e · outbound

This paper cites Omnisr: Shadow removal under direct and indirect lighting.

OmniLight: One Model to Rule All Lighting Conditions Omnisr: Shadow removal under direct and indirect lighting

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.315526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e2fdb1ab-6805-4c04-8d42-078a6370bbbd · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild.

OmniLight: One Model to Rule All Lighting Conditions Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.325235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 59bcfaa5-052c-40dc-aa14-7e10c5c90431 · outbound

This paper cites Com- plexity experts are task-discriminative learners for any image restoration.

OmniLight: One Model to Rule All Lighting Conditions Com- plexity experts are task-discriminative learners for any image restoration

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.332863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a273fca8-7877-4f06-b538-957bf2af0743 · outbound

This paper cites Multi-stage progressive image restoration.

OmniLight: One Model to Rule All Lighting Conditions Multi-stage progressive image restoration

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.335828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78892345-a469-4e38-bde1-33f4289ec7d7 · outbound

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

OmniLight: One Model to Rule All Lighting Conditions Restormer: Efficient transformer for high-resolution image restoration

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.365645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4d6ea8b-52d2-4676-b280-5a530116c8cd · outbound

This paper cites All-in-one multi-degradation image restoration net- work via hierarchical degradation representation.

OmniLight: One Model to Rule All Lighting Conditions All-in-one multi-degradation image restoration net- work via hierarchical degradation representation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.298615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation db33f253-b9d6-41b0-8621-92e0223badf5 · outbound

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

OmniLight: One Model to Rule All Lighting Conditions The unreasonable effectiveness of deep features as a perceptual metric

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.312580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dbcd1f0a-b1c2-4270-b53a-a35ff4a28832 · outbound

This paper cites SpA-Former: Transformer image shadow detection and removal via spatial attention.

OmniLight: One Model to Rule All Lighting Conditions SpA-Former: Transformer image shadow detection and removal via spatial attention

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:50:20.819349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 980451c4-82fb-4420-95e5-4c172b8fc5a9 · outbound

This paper cites Bijective mapping network for shadow removal.

OmniLight: One Model to Rule All Lighting Conditions Bijective mapping network for shadow removal

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T13:33:06.430677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Reference resolution

Outbound references

Pith citing papers