Reversing Flow for Image Restoration | Paper Citation Record

Observation 1b8fa1e9-04aa-4620-a70b-6f2bf94e67d9 · outbound

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

Reversing Flow for Image Restoration A high-quality denoising dataset for smartphone cameras

Reference 1

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Observation 292fffb3-7232-4bf5-b567-303d82615018 · outbound

This paper cites Defocus de- blurring using dual-pixel data.

Reversing Flow for Image Restoration Defocus de- blurring using dual-pixel data

Reference 2

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Observation 607d53a8-793d-4ae9-899c-e122f8a7b1c5 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

Reversing Flow for Image Restoration Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 3

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Observation 3a6ea731-3183-46d2-998c-9a8a4760aebd · outbound

This paper cites Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images.

Reversing Flow for Image Restoration Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images

Reference 4

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Observation 5473f44b-3596-4e58-befa-08a6bc11bab0 · outbound

This paper cites Nh-haze: An image dehazing benchmark with non- homogeneous hazy and haze-free images.

Reversing Flow for Image Restoration Nh-haze: An image dehazing benchmark with non- homogeneous hazy and haze-free images

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.762119Z

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Observation 16da9acf-fa7b-4849-87c3-d5fd7811ccba · outbound

This paper cites Contour detection and hierarchical image segmentation.IEEE transactions on pattern analysis and machine intelligence, 33(5):898–916, 2010.

Reversing Flow for Image Restoration Contour detection and hierarchical image segmentation.IEEE transactions on pattern analysis and machine intelligence, 33(5):898–916, 2010

Reference 6

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Observation 6f4cd16a-1f2f-45e4-bcab-197f5bc15c51 · outbound

This paper cites Wasserstein generative adversarial networks.

Reversing Flow for Image Restoration Wasserstein generative adversarial networks

Reference 7

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Observation 83ddb01a-01ad-40a5-b9e7-bdf11d3a9950 · outbound

This paper cites Self-guided image dehazing using progressive feature fu- sion.IEEE Transactions on Image Processing, 31:1217– 1229, 2022.

Reversing Flow for Image Restoration Self-guided image dehazing using progressive feature fu- sion.IEEE Transactions on Image Processing, 31:1217– 1229, 2022

Reference 8

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Observation 14f501ee-c689-4a1d-9bdd-8f6337de72b2 · outbound

This paper cites Digital image restoration.IEEE signal processing magazine, 14(2):24– 41, 1997.

Reversing Flow for Image Restoration Digital image restoration.IEEE signal processing magazine, 14(2):24– 41, 1997

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.776957Z

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Observation 707b23b0-96a1-44eb-874e-67d150dc43e0 · outbound

This paper cites Cold diffusion: Inverting arbitrary im- age transforms without noise.Advances in Neural Informa- tion Processing Systems, 36:41259–41282, 2023.

Reversing Flow for Image Restoration Cold diffusion: Inverting arbitrary im- age transforms without noise.Advances in Neural Informa- tion Processing Systems, 36:41259–41282, 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.780278Z

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Observation 6829ce68-eabb-4acf-b73e-fd0b193d2474 · outbound

This paper cites An intuitive proof of the data processing inequality.

Reversing Flow for Image Restoration An intuitive proof of the data processing inequality

Reference 11

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Observation 609cfcc2-6f54-4155-8dfd-60839a2dad5e · outbound

This paper cites The perception-distortion tradeoff.

Reversing Flow for Image Restoration The perception-distortion tradeoff

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.786792Z

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Observation cfbf2cb0-1687-45b8-a391-44561e1d78f0 · outbound

This paper cites Dehazenet: An end-to-end system for single image haze removal.IEEE transactions on image process- ing, 25(11):5187–5198, 2016.

Reversing Flow for Image Restoration Dehazenet: An end-to-end system for single image haze removal.IEEE transactions on image process- ing, 25(11):5187–5198, 2016

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.789719Z

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Observation 26a00edb-41c3-42af-a38f-7f4c01b4ad27 · outbound

This paper cites Simple baselines for image restoration.

Reversing Flow for Image Restoration Simple baselines for image restoration

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.792648Z

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Observation 257a7c13-5d3b-4aa5-b0e7-dd9a77ea8b9a · outbound

This paper cites Neural ordinary differential equa- tions.Advances in neural information processing systems, 31, 2018.

Reversing Flow for Image Restoration Neural ordinary differential equa- tions.Advances in neural information processing systems, 31, 2018

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.795437Z

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Observation d4d6ecba-1a2e-49be-a675-acfc68f016c5 · outbound

This paper cites Jstasr: Joint size and transparency- aware snow removal algorithm based on modified par- tial convolution and veiling effect removal.

Reversing Flow for Image Restoration Jstasr: Joint size and transparency- aware snow removal algorithm based on modified par- tial convolution and veiling effect removal

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.798619Z

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Observation 5e9038f6-242d-4420-bf03-1590f9438038 · outbound

This paper cites Learning a sparse transformer network for effective image deraining.

Reversing Flow for Image Restoration Learning a sparse transformer network for effective image deraining

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.801473Z

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Observation e5731d3e-1147-4749-b7df-a743281189f5 · outbound

This paper cites Rethinking coarse-to-fine ap- proach in single image deblurring.

Reversing Flow for Image Restoration Rethinking coarse-to-fine ap- proach in single image deblurring

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.804638Z

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Observation 9c7bb32f-06c1-4479-ac45-fe2e91000d3e · outbound

This paper cites Focal network for image restoration.

Reversing Flow for Image Restoration Focal network for image restoration

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.807717Z

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Observation 374dc04f-0554-4d44-ac9e-47fcd78f48c8 · outbound

This paper cites Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration.

Reversing Flow for Image Restoration Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.810469Z

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Observation c902da1e-9c72-4da3-9ef2-6d638c1cdcae · outbound

This paper cites Detail- recovery image deraining via context aggregation networks.

Reversing Flow for Image Restoration Detail- recovery image deraining via context aggregation networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.814122Z

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Observation a20454e7-f896-475e-ac3f-b1f9aac39cf4 · outbound

This paper cites Multi-scale boosted de- hazing network with dense feature fusion.

Reversing Flow for Image Restoration Multi-scale boosted de- hazing network with dense feature fusion

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.817663Z

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Observation 7e48c6aa-05f8-443a-9c1e-32f6985cb937 · outbound

This paper cites Quantization guided jpeg artifact correction.

Reversing Flow for Image Restoration Quantization guided jpeg artifact correction

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.821288Z

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Observation 8c7db254-1f34-4027-aac3-e7848441a68a · outbound

This paper cites Gener- ative diffusion prior for unified image restoration and en- hancement.

Reversing Flow for Image Restoration Gener- ative diffusion prior for unified image restoration and en- hancement

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.824762Z

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Observation 4b8e5b94-eeb1-4aa5-a874-4a3267226490 · outbound

This paper cites Generative adversarial networks.Com- munications of the ACM, 63(11):139–144, 2020.

Reversing Flow for Image Restoration Generative adversarial networks.Com- munications of the ACM, 63(11):139–144, 2020

Reference 25

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Observation 8503b367-310d-422b-9811-fa7595d50c35 · outbound

This paper cites Improved training of wasserstein gans.Advances in neural information process- ing systems, 30, 2017.

Reversing Flow for Image Restoration Improved training of wasserstein gans.Advances in neural information process- ing systems, 30, 2017

Reference 26

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Observation 3165ef69-2701-421e-803d-097dd4bc820e · outbound

This paper cites Image dehazing transformer with transmission-aware 3d position embedding.

Reversing Flow for Image Restoration Image dehazing transformer with transmission-aware 3d position embedding

Reference 27

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Observation 2d7aac2c-4b00-4a2e-9eaa-47f0e232d9a7 · outbound

This paper cites From sky to the ground: A large-scale bench- mark and simple baseline towards real rain removal.

Reversing Flow for Image Restoration From sky to the ground: A large-scale bench- mark and simple baseline towards real rain removal

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.839375Z

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Observation c6b74435-1eb8-4d96-b7e8-525c39cc3bfd · outbound

This paper cites Deep residual learning for image recognition.

Reversing Flow for Image Restoration Deep residual learning for image recognition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.842744Z

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Observation e7913b69-e2ed-4cc2-be69-3dc39fd2550a · outbound

This paper cites Generic image restoration with flow based priors.

Reversing Flow for Image Restoration Generic image restoration with flow based priors

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.846030Z

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Observation d12a0458-6611-4b9e-8b05-fa6dda9dd29c · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural informa- tion processing systems, 33:6840–6851, 2020.

Reversing Flow for Image Restoration Denoising dif- fusion probabilistic models.Advances in neural informa- tion processing systems, 33:6840–6851, 2020

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.849679Z

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Observation 9c97c0f9-ccb1-4865-a44f-7cab6c78ac07 · outbound

This paper cites Selective wavelet attention learning for single im- age deraining.International Journal of Computer Vision, 129(4):1282–1300, 2021.

Reversing Flow for Image Restoration Selective wavelet attention learning for single im- age deraining.International Journal of Computer Vision, 129(4):1282–1300, 2021

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.853208Z

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Observation 420953c7-c4cb-4149-ab18-fa852e755e3b · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

Reversing Flow for Image Restoration Arbitrary style transfer in real-time with adaptive instance normalization

Reference 33

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Observation 7dfadaa9-ba84-462d-b20a-95bb18b91526 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

Reversing Flow for Image Restoration Image-to-image translation with conditional adver- sarial networks

Reference 34

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Observation ec714f9d-10ef-4c25-8fee-2338e94a2703 · outbound

This paper cites Towards flex- ible blind jpeg artifacts removal.

Reversing Flow for Image Restoration Towards flex- ible blind jpeg artifacts removal

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.863965Z

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Observation 00137470-73ac-43de-a5e9-45cd2469dae1 · outbound

This paper cites Rain- free and residue hand-in-hand: A progressive coupled net- work for real-time image deraining.IEEE Transactions on Image Processing, 30:7404–7418, 2021.

Reversing Flow for Image Restoration Rain- free and residue hand-in-hand: A progressive coupled net- work for real-time image deraining.IEEE Transactions on Image Processing, 30:7404–7418, 2021

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.867701Z

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Observation 5fcbf42b-55ec-402d-99f1-877d4294d680 · outbound

This paper cites Edge-based defocus blur estimation with adaptive scale selection.IEEE Trans- actions on Image Processing, 27(3):1126–1137, 2017.

Reversing Flow for Image Restoration Edge-based defocus blur estimation with adaptive scale selection.IEEE Trans- actions on Image Processing, 27(3):1126–1137, 2017

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.871321Z

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Observation 3e9aa577-52ce-4280-be1f-eebe7f3791cd · outbound

This paper cites Denoising diffusion restoration models.Advances in Neural Information Processing Systems, 35:23593–23606,.

Reversing Flow for Image Restoration Denoising diffusion restoration models.Advances in Neural Information Processing Systems, 35:23593–23606,

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Observation 5ec684db-e507-4f57-9fdb-18fbbdcfa75d · outbound

This paper cites Bigcolor: Colorization using a genera- tive color prior for natural images.

Reversing Flow for Image Restoration Bigcolor: Colorization using a genera- tive color prior for natural images

Reference 39

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Observation 5db454cc-d156-4f40-a4b6-9f7b2a3a7ba6 · outbound

This paper cites Auto-Encoding Variational Bayes.

Reversing Flow for Image Restoration Auto-Encoding Variational Bayes

Reference 40

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Observation b293fc53-bb6b-4ce1-8ade-247d137233ea · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Reversing Flow for Image Restoration Adam: A Method for Stochastic Optimization

Reference 41

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Observation b760ff1f-5254-4798-bcd7-9aa57fe8b082 · outbound

This paper cites Glow: Generative flow with invertible 1x1 convolutions.Advances in neural information processing systems, 31, 2018.

Reversing Flow for Image Restoration Glow: Generative flow with invertible 1x1 convolutions.Advances in neural information processing systems, 31, 2018

Reference 42

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Observation 7694d340-7de1-4134-abf6-5961ba1f8179 · outbound

This paper cites Estimating mutual information.Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 69(6): 066138, 2004.

Reversing Flow for Image Restoration Estimating mutual information.Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 69(6): 066138, 2004

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Observation 60cf6269-f485-43ca-89e8-542127982b99 · outbound

This paper cites Photo-realistic single image super-resolution using a gener- ative adversarial network.

Reversing Flow for Image Restoration Photo-realistic single image super-resolution using a gener- ative adversarial network

Reference 44

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Observation 6f78f245-23a7-4b28-bc48-dc6244200b8b · outbound

This paper cites Deep defocus map estimation using domain adapta- tion.

Reversing Flow for Image Restoration Deep defocus map estimation using domain adapta- tion

Reference 45

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Observation 12a29aa7-14ac-4675-ac14-0bd29f92d58e · outbound

This paper cites Iterative filter adaptive network for single image defocus deblurring.

Reversing Flow for Image Restoration Iterative filter adaptive network for single image defocus deblurring

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.904567Z

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Observation 482766fb-10cc-4c85-a5b9-235d444e8d99 · outbound

This paper cites Aod-net: All-in-one dehazing network.

Reversing Flow for Image Restoration Aod-net: All-in-one dehazing network

Reference 47

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Observation 73f294ac-7045-430d-b05b-44a1cf34ba0e · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic models.

Reversing Flow for Image Restoration Srdiff: Single image super-resolution with diffusion probabilistic models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.911337Z

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Observation 1fa58c86-9cef-421f-a939-cd02cf9e08b4 · outbound

This paper cites Heavy rain image restoration: Integrating physics model and conditional adversarial learning.

Reversing Flow for Image Restoration Heavy rain image restoration: Integrating physics model and conditional adversarial learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.914558Z

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Observation 988ac89a-24c9-4859-be8c-6a32720674aa · outbound

This paper cites Recurrent squeeze-and-excitation context aggre- gation net for single image deraining.

Reversing Flow for Image Restoration Recurrent squeeze-and-excitation context aggre- gation net for single image deraining

Reference 50

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Observation 714251e1-ff08-49c9-a45d-b9a33b21bb92 · outbound

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

Reversing Flow for Image Restoration DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

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Observation 98b97269-a066-4c13-a6bd-65f0a76378c3 · outbound

This paper cites Catch missing details: Image reconstruction with frequency augmented variational autoencoder.

Reversing Flow for Image Restoration Catch missing details: Image reconstruction with frequency augmented variational autoencoder

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.924737Z

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Observation f92508da-9d80-42d2-a0ad-1a1edbba755f · outbound

This paper cites Unsupervised image denoising in real-world scenarios via self-collaboration parallel generative adversarial branches.

Reversing Flow for Image Restoration Unsupervised image denoising in real-world scenarios via self-collaboration parallel generative adversarial branches

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.927630Z

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Observation 2d1267ab-3cda-4e17-8a3b-a27f7222905d · outbound

This paper cites Flow Matching for Generative Modeling.

Reversing Flow for Image Restoration Flow Matching for Generative Modeling

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.930769Z

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Observation f7a6f932-e1ff-4f44-9754-0409f8e6e0c3 · outbound

This paper cites I$^2$SB: Image-to-Image Schr\"odinger Bridge.

Reversing Flow for Image Restoration I$^2$SB: Image-to-Image Schr\"odinger Bridge

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.933943Z

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Observation 6e9d04dc-3f89-426f-8ffa-424b4a20352c · outbound

This paper cites Structure matters: Tackling the semantic dis- crepancy in diffusion models for image inpainting.

Reversing Flow for Image Restoration Structure matters: Tackling the semantic dis- crepancy in diffusion models for image inpainting

Reference 56

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Observation b816b116-818d-4453-bd1a-78a3addbfb2b · outbound

This paper cites Residual denoising diffu- sion models.

Reversing Flow for Image Restoration Residual denoising diffu- sion models

Reference 57

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Observation 43fc821a-8be2-45c1-8d32-4c98052f91cc · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Reversing Flow for Image Restoration Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.943657Z

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Observation a4ce1e03-ed3f-4fa1-8a1f-cec1b179bf21 · outbound

This paper cites Diff-plugin: Revitalizing details for diffusion-based low-level tasks.

Reversing Flow for Image Restoration Diff-plugin: Revitalizing details for diffusion-based low-level tasks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.947793Z

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Observation 53d9c5f6-430c-4c68-8833-100e8ce28352 · outbound

This paper cites Desnownet: Context-aware deep network for snow removal.IEEE Transactions on Image Processing, 27(6): 3064–3073, 2018.

Reversing Flow for Image Restoration Desnownet: Context-aware deep network for snow removal.IEEE Transactions on Image Processing, 27(6): 3064–3073, 2018

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Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.951452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 950e79ac-357a-4e74-942c-234fa814d567 · outbound

This paper cites Decoupled Weight Decay Regularization.

Reversing Flow for Image Restoration Decoupled Weight Decay Regularization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.955293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c6acf0-bf59-4424-be36-08c676251027 · outbound

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

Reversing Flow for Image Restoration SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.958879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5fa4044-f698-483c-9d5e-4b73e741eb82 · outbound

This paper cites Normalizing flow as a flexi- ble fidelity objective for photo-realistic super-resolution.

Reversing Flow for Image Restoration Normalizing flow as a flexi- ble fidelity objective for photo-realistic super-resolution

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.962464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71d8a9f6-3666-4e7d-a0ca-0138bb7b5f75 · outbound

This paper cites Image Restoration with Mean-Reverting Stochastic Differential Equations.

Reversing Flow for Image Restoration Image Restoration with Mean-Reverting Stochastic Differential Equations

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.966036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ea34ae-2eb3-4ca8-8afc-cb7e9ff45c70 · outbound

This paper cites Refusion: Enabling large- size realistic image restoration with latent-space diffusion models.

Reversing Flow for Image Restoration Refusion: Enabling large- size realistic image restoration with latent-space diffusion models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.969655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e6e4153-9f22-42eb-823b-51c08283ea2b · outbound

This paper cites Sen- sitivity decouple learning for image compression artifacts reduction.IEEE Transactions on Image Processing, 2024.

Reversing Flow for Image Restoration Sen- sitivity decouple learning for image compression artifacts reduction.IEEE Transactions on Image Processing, 2024

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.973571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 943e7e9d-4368-4b4b-a665-db49132ede5e · outbound

This paper cites Least squares gen- erative adversarial networks.

Reversing Flow for Image Restoration Least squares gen- erative adversarial networks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.185825Z

Source-reported events for the cited work

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

Observation 87f900d8-3c9d-40d8-adb5-23f3d342f6b8 · outbound

This paper cites Intriguing Findings of Frequency Selection for Image Deblurring.

Reversing Flow for Image Restoration Intriguing Findings of Frequency Selection for Image Deblurring

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.980731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b6a82b7-91ae-4260-930c-28cd8b62e7e5 · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

Reversing Flow for Image Restoration A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.175347Z

Source-reported events for the cited work

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

Observation ae3becce-eb35-4ac9-98e1-dceff4aae8e5 · outbound

This paper cites Conditional Generative Adversarial Nets.

Reversing Flow for Image Restoration Conditional Generative Adversarial Nets

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:34.988263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57340eac-343a-43f8-8c7a-60aeefb5b29e · outbound

This paper cites Noisier2noise: Learning to denoise from unpaired noisy data.

Reversing Flow for Image Restoration Noisier2noise: Learning to denoise from unpaired noisy data

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.164179Z

Source-reported events for the cited work

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

Observation a6545c56-86d9-4e8f-a001-32286d102ec3 · outbound

This paper cites Dynamic at- tentive graph learning for image restoration.

Reversing Flow for Image Restoration Dynamic at- tentive graph learning for image restoration

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.153036Z

Source-reported events for the cited work

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

Observation 989077ea-9283-448c-8c9e-831e07aa4189 · outbound

This paper cites T2i-adapter: Learn- ing adapters to dig out more controllable ability for text-to- image diffusion models.

Reversing Flow for Image Restoration T2i-adapter: Learn- ing adapters to dig out more controllable ability for text-to- image diffusion models

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.142231Z

Source-reported events for the cited work

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

Observation 4b0babe8-709a-4f85-b257-8ee2e668cb8b · outbound

This paper cites CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution.

Reversing Flow for Image Restoration CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:35.003025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0397dff-2d25-4412-95d1-43d1c7c30784 · outbound

This paper cites Ot-flow: Fast and accurate continuous normal- izing flows via optimal transport.

Reversing Flow for Image Restoration Ot-flow: Fast and accurate continuous normal- izing flows via optimal transport

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.131073Z

Source-reported events for the cited work

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

Observation b4bec076-f946-4952-8056-d449636854e2 · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):10346–10357, 2023.

Reversing Flow for Image Restoration Restoring vision in adverse weather conditions with patch-based denoising diffusion models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):10346–10357, 2023

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.119412Z

Source-reported events for the cited work

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

Observation 8962cb72-3401-4d33-94de-6be22f6260e8 · outbound

This paper cites Exploiting deep genera- tive prior for versatile image restoration and manipulation.

Reversing Flow for Image Restoration Exploiting deep genera- tive prior for versatile image restoration and manipulation

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.109981Z

Source-reported events for the cited work

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

Observation ebaa231c-973c-4cf8-aec2-b6a6f9518076 · outbound

This paper cites Normalizing flows for probabilistic modeling and infer- ence.Journal of Machine Learning Research, 22(57):1–64,.

Reversing Flow for Image Restoration Normalizing flows for probabilistic modeling and infer- ence.Journal of Machine Learning Research, 22(57):1–64,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.100197Z

Source-reported events for the cited work

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

Observation 3562fe91-862f-485c-997b-ee848f068f11 · outbound

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

Reversing Flow for Image Restoration Ffa-net: Feature fusion attention network for single image dehazing

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.090516Z

Source-reported events for the cited work

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

Observation 525f8c8a-c7df-4fee-b9b5-21eaa7bab082 · outbound

This paper cites Mb-taylorformer: Multi-branch efficient transformer expanded by taylor formula for im- age dehazing.

Reversing Flow for Image Restoration Mb-taylorformer: Multi-branch efficient transformer expanded by taylor formula for im- age dehazing

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.079768Z

Source-reported events for the cited work

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

Observation e8f29925-d96e-473a-9085-7e240ad09021 · outbound

This paper cites Adaptive consistency prior based deep network for image denoising.

Reversing Flow for Image Restoration Adaptive consistency prior based deep network for image denoising

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:35.028618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1103532-9f10-4f24-b325-31892d2c4a92 · outbound

This paper cites Progressive image deraining net- works: A better and simpler baseline.

Reversing Flow for Image Restoration Progressive image deraining net- works: A better and simpler baseline

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.061598Z

Source-reported events for the cited work

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

Observation 12bbe418-b832-48c4-b670-9815aa6172aa · outbound

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

Reversing Flow for Image Restoration U- net: Convolutional networks for biomedical image segmen- tation

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:35.035853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1252388f-02c7-4956-a2a3-000ee657856c · outbound

This paper cites Learning to deblur using light field generated and real de- focus images.

Reversing Flow for Image Restoration Learning to deblur using light field generated and real de- focus images

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.041958Z

Source-reported events for the cited work

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

Observation bfc50c6c-dbbf-4555-9a7d-0641b315e732 · outbound

This paper cites Improved techniques for training gans.Advances in neural information process- ing systems, 29, 2016.

Reversing Flow for Image Restoration Improved techniques for training gans.Advances in neural information process- ing systems, 29, 2016

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.030267Z

Source-reported events for the cited work

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

Observation 7b69af0c-ac78-4690-b0fe-13e7cd85f894 · outbound

This paper cites Resdiff: Combining cnn and diffusion model for image super-resolution.

Reversing Flow for Image Restoration Resdiff: Combining cnn and diffusion model for image super-resolution

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.018313Z

Source-reported events for the cited work

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

Observation bd6116dc-7c66-417e-83a6-88e5644ad560 · outbound

This paper cites Live image quality assessment database release 2.http://live.

Reversing Flow for Image Restoration Live image quality assessment database release 2.http://live

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:36.007402Z

Source-reported events for the cited work

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

Observation 161da953-d15a-4dcc-b305-62318e6716e8 · outbound

This paper cites Just noticeable defocus blur detection and estimation.

Reversing Flow for Image Restoration Just noticeable defocus blur detection and estimation

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.877558Z

Source-reported events for the cited work

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

Observation 1e905423-7b60-4474-892e-9c7e3f2f4702 · outbound

This paper cites Resfusion: Denoising diffusion probabilistic models for image restoration based on prior residual noise.

Reversing Flow for Image Restoration Resfusion: Denoising diffusion probabilistic models for image restoration based on prior residual noise

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.866549Z

Source-reported events for the cited work

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

Observation d402ebb7-345a-47ae-99f8-ee474e84e086 · outbound

This paper cites Variational deep image restoration.IEEE Transactions on Image Processing, 31: 4363–4376, 2022.

Reversing Flow for Image Restoration Variational deep image restoration.IEEE Transactions on Image Processing, 31: 4363–4376, 2022

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.855857Z

Source-reported events for the cited work

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

Observation 10e0ffc9-3391-41c9-b1a8-a69197dff213 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Reversing Flow for Image Restoration Deep unsupervised learning using nonequilibrium thermodynamics

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:35.059834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c939c5e4-809e-47d0-89fb-44f9c47672ff · outbound

This paper cites Single image defocus deblurring using kernel-sharing parallel atrous convolutions.

Reversing Flow for Image Restoration Single image defocus deblurring using kernel-sharing parallel atrous convolutions

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.838611Z

Source-reported events for the cited work

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

Observation d1da3762-b8ef-49d0-b1aa-8c99952badbb · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Reversing Flow for Image Restoration Score-Based Generative Modeling through Stochastic Differential Equations

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:35.065929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35296ca0-c6ac-4308-9333-7a400fbc1796 · outbound

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

Reversing Flow for Image Restoration Transweather: Transformer-based restoration of im- ages degraded by adverse weather conditions

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.827459Z

Source-reported events for the cited work

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

Observation 60603be5-fb58-4718-9c28-7568c6f2e98d · outbound

This paper cites Spatial attentive single-image deraining with a high quality real rain dataset.

Reversing Flow for Image Restoration Spatial attentive single-image deraining with a high quality real rain dataset

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.817045Z

Source-reported events for the cited work

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

Observation da943c52-6528-47f5-988d-fadfb976ad3b · outbound

This paper cites Esrgan: En- hanced super-resolution generative adversarial networks.

Reversing Flow for Image Restoration Esrgan: En- hanced super-resolution generative adversarial networks

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.806917Z

Source-reported events for the cited work

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

Observation ba5fdde7-d643-4cfd-b099-11d7c981d1f8 · outbound

This paper cites To- wards real-world blind face restoration with generative fa- cial prior.

Reversing Flow for Image Restoration To- wards real-world blind face restoration with generative fa- cial prior

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.796139Z

Source-reported events for the cited work

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

Observation dee0b8ea-0bbc-4242-94db-79fb4205a11a · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Reversing Flow for Image Restoration Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.785914Z

Source-reported events for the cited work

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

Observation 5a7830de-49a1-473c-b4c8-2eab85edb164 · outbound

This paper cites Low-light image enhancement with normalizing flow.

Reversing Flow for Image Restoration Low-light image enhancement with normalizing flow

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:21:35.775804Z

Source-reported events for the cited work

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

Observation 8517f544-1aae-4778-8d2f-32fa992da5f5 · outbound

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

Reversing Flow for Image Restoration Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T19:21:35.091249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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