Pith. sign in

Paper Citation Record · LEDGER

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model

As of 21 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2412.14630.

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

pith.paper-citation-record.v1
2412.14630 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:07:02.037424Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy49
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4358b66d-6387-43bb-bc46-cc2ca8c910ca · outbound

This paper cites Simple baselines for image restoration.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Simple baselines for image restoration

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:01.782292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:01.782292Z digest=sha256:fc6de222b1cae4b33e5f8f5aa58697f7a61757292e19739dffcf69f71621d0f8

Observation b01004e7-e4cd-48b4-92b4-ca6dd24c67c8 · outbound

This paper cites Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.933789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.788000Z digest=sha256:f9bcb30dfbb6e2b469a39851bcbac89680d42aa6319936a54029ca7ec1cba4a9

Observation 28a372b1-415e-4e89-a2d0-8e552b72d9e0 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Generative diffusion prior for unified image restoration and enhancement

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.918732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.792490Z digest=sha256:c7dcd00d306bd73e87234a7d9a101d1175d7a0b6a918c2ba0925bf2c7e4d3e96

Observation 2a676960-cb8d-476a-9a4b-6efeafe2ee82 · outbound

This paper cites Unsu- pervised underwater image restoration: From a homology perspective.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Unsu- pervised underwater image restoration: From a homology perspective

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.903642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.796969Z digest=sha256:0fa3b42ca99b53152920092a635bea4934502c4e9ab569e0b60c5c36574cd86e

Observation ce46ca70-6fae-456a-9344-2d7778614900 · outbound

This paper cites Uncertainty inspired underwater image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Uncertainty inspired underwater image enhancement

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.888566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.801734Z digest=sha256:80b10840bd836d495745710850706764ba1c1f1dffbfda6757b747de858a8bf7

Observation ae447067-e1a9-4454-90a4-2819d49fdcd9 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Lime: Low-light image enhancement via illumination map estimation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.872028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.806330Z digest=sha256:e1fa07cf9f00c7644075655b4ad1ca7621d5c1819a6bba206ae6bb3df9cded91

Observation 6cc96847-de26-4f9d-b09a-54e4f1e69904 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.855575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.811443Z digest=sha256:1ffd31f40352fc58a1b9c6a947b7edd7bdfe913ffec8b27ca477928081a64d7d

Observation 61e31909-5656-4d23-afea-15956f608b03 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Global structure-aware diffusion process for low-light image enhancement

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.839814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.815880Z digest=sha256:88e3025d37512a3bfe510df55653e62105da46afd3de6d1760a3eacc64592435

Observation 952c88e6-1c2a-4564-9b95-31754b542b09 · outbound

This paper cites Contrastive semi-supervised learning for underwater image restoration via reliable bank.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Contrastive semi-supervised learning for underwater image restoration via reliable bank

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.823504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.820149Z digest=sha256:a932abe597ccade0522a07ca98a562d5ebdababe970b41e7cf9a62bdecdbdd7f

Observation d34e6519-9937-4bc0-9470-38361c2f171a · outbound

This paper cites Wavedm: Wavelet-based diffusion models for image restoration.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Wavedm: Wavelet-based diffusion models for image restoration

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.808508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.824724Z digest=sha256:a543ba7130709c45c35592cdd45fcd7ba2178b48b1481581a375936ae2e07816

Observation 34858f29-4f69-4291-9f7b-fa9deb97fe5d · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Low-light image enhancement with wavelet-based diffusion models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.793459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.829687Z digest=sha256:d0bd6d4a3da361863cb164d80cba15c7ad7d131a2e0b150eb6b53984df291f32

Observation b0061d9c-6cf9-4266-b075-50f58df55443 · outbound

This paper cites LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:01.835660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:01.835660Z digest=sha256:8beec7da8ebece9adc532f3d56286ba8b1da38d7f2572226c529587cb04bc345

Observation 6ad8b2c0-d79c-4acd-8afd-709f80e136fe · outbound

This paper cites Musiq: Multi-scale image quality transformer.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Musiq: Multi-scale image quality transformer

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.777824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.841778Z digest=sha256:321cf5f4528630feb4814eb0a49cbae6fa149efd04a6c8c6fd4d8d0278e0e8e8

Observation 81256156-9cd7-46e2-aaeb-709c26f18e5a · outbound

This paper cites Contrast enhancement based on layered difference repre- sentation of 2d histograms.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Contrast enhancement based on layered difference repre- sentation of 2d histograms

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.762336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.847108Z digest=sha256:0b3497362794a56a924dc23d96563321a1d0380cce81bfa85df0ce69ea3721c5

Observation 7a8b5023-4375-4f3d-9bcd-e33c26fd1279 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model All-in-one image restoration for unknown corruption

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.745087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.852129Z digest=sha256:c6012ddc17dc4e3783bfbb3396eaed223cda6caa64b6bb3958404112a335920f

Observation a0be2f77-386b-4e40-9507-86b543cde01e · outbound

This paper cites Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:01.856975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:01.856975Z digest=sha256:82ff60bdb66d5d35a016836a4a20d7ceb901135af544670bdad1da1ee2bd6e8c

Observation e0017bbd-447a-4459-8388-c52205fe5dac · outbound

This paper cites Learning degradation representations for image deblurring.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Learning degradation representations for image deblurring

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.726256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.862886Z digest=sha256:84bf3579836ff2316f2adc4185e2a59e5f4730642b2944025298d985b79f7053

Observation 79fd89ec-1f7f-4bfd-8f22-e85f36e5c14d · outbound

This paper cites Iterative prompt learning for unsupervised backlit image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Iterative prompt learning for unsupervised backlit image enhancement

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.706199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.868377Z digest=sha256:d94f0a9032b78ab00d19e8de3cfb0f069827255c27ffb50fe4594cea9274eb71

Observation 00fbc6ec-22e1-49a1-991d-21772d22b7d1 · outbound

This paper cites Twin adversarial contrastive learning for underwater image enhancement and beyond.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Twin adversarial contrastive learning for underwater image enhancement and beyond

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.688152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.873911Z digest=sha256:367519a5afb785846b1da717b45e3a9947f169ec8dfbaf94b8c8dc305c9e20ee

Observation 12c80019-4783-4a6d-be9d-466d9658351c · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Repaint: Inpainting using denoising diffusion probabilistic models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.670503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.878902Z digest=sha256:0d9ad8816443c2fe6129f280031ab9eb8f849842a7fb85859d3bffd931501801

Observation 72ff7a3b-44d3-4a50-bf5d-714e4fc4d84b · outbound

This paper cites Image restoration with mean-reverting stochastic differential equations.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Image restoration with mean-reverting stochastic differential equations

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.653721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.883535Z digest=sha256:b48aec3eb7b0fd4dceba0d86bb064250a4d389ec35f8118f1ad1d33a6f6ccab2

Observation 39f55df5-db6f-4f8f-be24-9e75590d0a3e · outbound

This paper cites Gustafsson, Zheng Zhao, Jens Sj¨ olund, and Thomas B.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Gustafsson, Zheng Zhao, Jens Sj¨ olund, and Thomas B

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.635463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.888066Z digest=sha256:c2e20ee66cb890cc73db456f91ebb7f27290dd730e51ed7aa68c64e9ad038222

Observation 6eb8df0b-5e93-4ad0-ac12-bc9548ca157d · outbound

This paper cites Fourier priors-guided diffusion for zero-shot joint low-light enhancement and deblurring.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Fourier priors-guided diffusion for zero-shot joint low-light enhancement and deblurring

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.619310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.892949Z digest=sha256:4c2975e7f4fbc6d539969245c04c8c8df4b2fb0157d06d6c812ee47c72b38686

Observation dfbaaaab-254a-4709-b3bb-34d6abddaca6 · outbound

This paper cites Defocus image deblurring network with defocus map estimation as auxiliary task.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Defocus image deblurring network with defocus map estimation as auxiliary task

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.603065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.897653Z digest=sha256:8bdb2e0e9545c87c95251a87887dc3afa60559f02fe0b55f3b31dcf6a7942bf0

Observation 010c44be-abe8-45d1-8105-0248171ace38 · outbound

This paper cites Intriguing findings of fre- quency selection for image deblurring.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Intriguing findings of fre- quency selection for image deblurring

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.586641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.902270Z digest=sha256:7cd403ccea21ceaf14c7da549d218ac3631b7e0e3a5dffc2d8c6f232fdcf755c

Observation db6e7fe0-3714-4c32-b824-57e228619259 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.571579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.906987Z digest=sha256:081d793e4432159e94809224d4158b67f0056466d39bea5f3451aaf313992009

Observation 9a0bc10f-a5eb-4692-81d3-c3430365bc2a · outbound

This paper cites A generalized physical- knowledge-guided dynamic model for underwater image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model A generalized physical- knowledge-guided dynamic model for underwater image enhancement

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.554838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.911368Z digest=sha256:dcc47b3b575fe9bf4849641bf78a820febd0bab69d72bba68fa848f106b563fd

Observation 288e3f87-f8fd-4d95-a00e-bf902e1cbf96 · outbound

This paper cites Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.538705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.915895Z digest=sha256:1c9971a5b7769445f36e0faee64452f9711bc3a5b374f9bd2788617b30e5a539

Observation d8975ac6-b9ef-4455-88e7-9d3d238ef12e · outbound

This paper cites U-shape transformer for underwater image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model U-shape transformer for underwater image enhancement

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.522188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.920259Z digest=sha256:a722c9614733aeb3b18ad190f98599895a53c337de0d9387c6588a692feb5c82

Observation 45d2cfbd-6048-4893-b061-fea0de61e1e1 · outbound

This paper cites Attentive generative adversarial network for raindrop removal from a single image.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Attentive generative adversarial network for raindrop removal from a single image

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.506128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.924531Z digest=sha256:6cc2aee5370d72dcb9b7f7df3ca12e7ac66f43c5632d2830f6a0391bc0b102ff

Observation 7d790e45-f606-48ed-b225-89669969e0af · outbound

This paper cites Ffa-net: Feature fusion attention 29 network for single image dehazing.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Ffa-net: Feature fusion attention 29 network for single image dehazing

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.489020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.928978Z digest=sha256:ee5957964dc0b7b0c878d771277547f7d0c644b1114538d1b625edcbea492f60

Observation 49d2f2b1-e012-491c-9879-d952d4dc4eeb · outbound

This paper cites Single image deraining using bilateral recurrent network.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Single image deraining using bilateral recurrent network

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.470448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.933429Z digest=sha256:b561b4c877e79c83774b3a131abaeba48c2740d3264bcbc257bb7a8b6788970f

Observation ff430883-21f8-48dc-9993-04b3795df692 · outbound

This paper cites Live image quality assessment database release 2.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Live image quality assessment database release 2

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.454146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.938484Z digest=sha256:947d7fea2abd73985387e989f88b4257db48147a2797a650bb4f6db1c615f950

Observation 76b09377-3384-44b4-bfd1-4bb958a314f1 · outbound

This paper cites Unsupervised multi-branch network with high-frequency enhancement for image dehazing.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Unsupervised multi-branch network with high-frequency enhancement for image dehazing

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.438760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.943556Z digest=sha256:ef45ebc343c100c38127e8adaf477ff6bb1bb5f8714b639412f2993d8a909a30

Observation 226f4ede-c213-4ffc-9640-8c10be7aaafa · outbound

This paper cites Multi- stage image denoising with the wavelet transform.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Multi- stage image denoising with the wavelet transform

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.422594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.948148Z digest=sha256:f34b6b1b3368f6db6d8f298328efd44ec5f34722b45475efed1250b2a3d7f617

Observation 0a65b550-a4e2-49f5-a4d7-54e9d1f2f1ec · outbound

This paper cites Maxim: Multi-axis mlp for image processing.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Maxim: Multi-axis mlp for image processing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.406658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.953032Z digest=sha256:eb63bd533264e3a007d358a50b0ce76c8a1b19f8d70b71a631d19d3bd827f82f

Observation 48c66f25-b664-4f9a-bd24-7d67c77a622a · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Image quality assessment: from error visibility to structural similarity

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:01.957877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:01.957877Z digest=sha256:c537fa2f399a7039f0a2505375b92754f68fb3a15829ae07fed99e2fbd13fb54

Observation b2597cae-7076-4c6c-a038-cc16422457d4 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Deep Retinex Decomposition for Low-Light Enhancement

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:01.962963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:01.962963Z digest=sha256:830e7cb114869283cb12efc1fd8cb80f02f3a9c74d5846afdb0b2440bfeca358

Observation 03b1a35a-87fc-4aea-be80-c8aa31c2613b · outbound

This paper cites Unpaired learning of deep image denoising.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Unpaired learning of deep image denoising

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.380827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.968385Z digest=sha256:20bc575eff2546e6d73ab029d4da39658fc8e9b7a2ea529c3ce90fd3cf89ac43

Observation d3473a7b-9047-4a10-95a6-0b4be6166fdd · outbound

This paper cites Image de-raining transformer.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Image de-raining transformer

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.364521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.972750Z digest=sha256:6a5e4e40aea52a1e6e2171f73722c3f56064bdc7f15c64a3d7cdfaa6fd3064b0

Observation 48c2d2c7-9189-4156-bb56-670e6f1b6300 · outbound

This paper cites Upt-flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement.Pattern Recognition, 158:111076, 2025.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Upt-flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement.Pattern Recognition, 158:111076, 2025

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.348605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.977061Z digest=sha256:a70907413f640c75a704d11cc359e3bc5a15ea48978cfe2ca89e9df81d50f5ea

Observation fd6e12d7-b48e-475a-a1f6-304f96a2611e · outbound

This paper cites Snr-aware low-light image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Snr-aware low-light image enhancement

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.332899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.981454Z digest=sha256:4e01c6e82e28f1bddcfe8c55c115086e9117e61bcfbe62514736a05e2d1a8566

Observation 7a869d96-6989-47dc-afb9-cef3b5f0f06b · outbound

This paper cites Implicit neural representation for cooperative low-light image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Implicit neural representation for cooperative low-light image enhancement

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.316988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.985597Z digest=sha256:58a89eea2c1450dd22b0132a825a5d773aec26f982d75bfb5fcbee20aa19d685

Observation 4b118fa3-4e9f-43bc-a1c4-1392a26e1986 · outbound

This paper cites Deep joint rain detection and removal from a single image.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Deep joint rain detection and removal from a single image

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.301069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.990514Z digest=sha256:97c0db760ce4ee22d15087fe5f5cd30c4bed2f33615a0239f0f64664ed1935f2

Observation 8a0966f2-b4d1-447f-896c-372aae5e3921 · outbound

This paper cites Sparse gradient regu- larized deep retinex network for robust low-light image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Sparse gradient regu- larized deep retinex network for robust low-light image enhancement

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.284923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.994876Z digest=sha256:f2d367afd6b87e57dfbed46c0af9c89abb1938019817a8a70ce108db1be0b47d

Observation 6516c25c-d8f6-4c45-8167-bdb85041fe91 · outbound

This paper cites Robust unpaired image dehazing via density and depth decomposition.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Robust unpaired image dehazing via density and depth decomposition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.267208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:01.999225Z digest=sha256:2d8468a0bfbb7440d6b509d01a1fe36f43404d3ce4451a1e6ee7507e55de1e32

Observation 480abc23-ed7e-4c8f-8c16-764369e4bb90 · outbound

This paper cites Self-augmented unpaired image dehazing via density and depth decomposition.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Self-augmented unpaired image dehazing via density and depth decomposition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.251380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:02.003278Z digest=sha256:35dbd8426f4f6b36b4a8588446148abf6f41d3564ac513ab72ea8a5afb429730

Observation af2707fa-e41a-4fd9-849b-58f4a1a47f71 · outbound

This paper cites Degradation-removed multiscale fusion for low-light salient object detection.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Degradation-removed multiscale fusion for low-light salient object detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.234997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:02.007487Z digest=sha256:93e350f967ddf1125846dbc5cbaf385d04d66618d6d5cbac5b03e81dc3838ef1

Observation a5487ce6-aff0-4b53-aff3-7c7f4651e215 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Restormer: Efficient transformer for high-resolution image restoration

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.217429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:02.011823Z digest=sha256:6ea981fe872c744696aad5c77386f1d3a7379b50873b8e9f7cf6bdc0cea3eb63

Observation 5e8a943d-9e41-4dec-8e8b-d85cb8e3cb79 · outbound

This paper cites Multi-stage progressive image restoration.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Multi-stage progressive image restoration

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.201634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:02.015881Z digest=sha256:25592e2ddcfaf6ae7b35ef365281949e71ebca71299bc8e006d0465ce0820b0d

Observation e88990f6-7304-47fb-a00c-c4e9e2a7c44a · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model The unreasonable effectiveness of deep features as a perceptual metric

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:02.020090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:02.020090Z digest=sha256:4a080c72c16063e8a099ab151c280db0edd76385b9d382e19de44a7cfe79ceda

Observation bf4a5168-e3b7-4e40-84e2-0215a15b5608 · outbound

This paper cites A prior guided wavelet-spatial dual attention transformer framework for heavy rain image restoration.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model A prior guided wavelet-spatial dual attention transformer framework for heavy rain image restoration

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.176986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:02.024595Z digest=sha256:68746a47d65e1104f5ae8f678d10620fa32cc1bb3410941b83addd6fb8e15789

Observation c0b83627-d496-449b-8e02-a6553a877fca · outbound

This paper cites Deep convolutional dictionary learning for image de- noising.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Deep convolutional dictionary learning for image de- noising

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.160746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:02.028950Z digest=sha256:e1039283786a163c2e31bed2242f326cf0a7a703ce318e70290efd0cc8431a93

Observation 2f4378ea-1fa2-42ef-a6b6-fb52876ec294 · outbound

This paper cites Real-world video deblurring: A benchmark dataset and an efficient recurrent neural network.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Real-world video deblurring: A benchmark dataset and an efficient recurrent neural network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.143580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:02.033122Z digest=sha256:565308c8e3bbe478a62f7740dde69be7cf3ca8533c12f904e1ca30bff9e5c3b2

Observation 191a1acb-5cad-4858-99ae-1b5f532e6209 · outbound

This paper cites Multi-stream fusion network with generalized smooth l 1 loss for single image dehazing.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Multi-stream fusion network with generalized smooth l 1 loss for single image dehazing

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.127301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-11T12:07:02.037424Z digest=sha256:b103166c73a28ad23e516de705eef4d30f078c9727dcf4b07bfa4487f9967785

Pith citing papers

No inbound Pith citation observations are available.