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Paper Citation Record · LEDGER

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration

As of 21 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2411.10508.

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

pith.paper-citation-record.v1
2411.10508 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:53:48.156689Z

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.

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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

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  • verified fuzzy24
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External citation measurements

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Outbound references

Observation c5ff7981-878c-4601-a9ad-a0803980b698 · outbound

This paper cites Progressive semantic- aware style transformation for blind face restoration.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Progressive semantic- aware style transformation for blind face restoration

Reference 1

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Observation f3d585d8-b6a8-4c28-a99f-64febe705b21 · outbound

This paper cites Image Super-Resolution with Text Prompt Diffusion.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Image Super-Resolution with Text Prompt Diffusion

Reference 2

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Observation cbfd4795-d31f-45ca-b0a4-330a5779732a · outbound

This paper cites Preconditioners for the Stochastic Training of Neural Fields.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Preconditioners for the Stochastic Training of Neural Fields

Reference 3

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Observation 9fb608bd-2ad2-4872-a793-15d5dbf8c5eb · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Reference 4

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Observation 3e7b5b3d-22a5-41b6-846f-d6ded2cae418 · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Taming transformers for high-resolution image synthesis

Reference 5

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Observation d3a4d7d0-51b3-4626-9be6-c63141ecc0bf · outbound

This paper cites Vqfr: Blind face restoration with vector-quantized dictionary and parallel de- coder.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Vqfr: Blind face restoration with vector-quantized dictionary and parallel de- coder

Reference 6

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Observation 7fe3acd9-1c85-4755-8942-ce6190c79988 · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 7

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Observation 411b0fa9-fa4c-4d84-b56f-d2ff5e1b7d5e · outbound

This paper cites Denoising dif- fusion probabilistic models.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Denoising dif- fusion probabilistic models

Reference 8

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Observation bfb28579-d5ea-4673-a407-6c9041ef3920 · outbound

This paper cites Labeled faces in the wild: A database for studying face recognition in unconstrained environments.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Labeled faces in the wild: A database for studying face recognition in unconstrained environments

Reference 9

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Observation 38530a29-4bf9-4338-91cb-9ca9cd5471c4 · outbound

This paper cites AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion

Reference 10

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Observation ae90ca7b-2d9d-4720-ad25-3f2e0effe669 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Progressive growing of gans for improved quality, stability, and variation

Reference 11

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Observation 212b81cd-9e65-45ec-a3b4-c3b0691b9c3e · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration A style-based generator architecture for generative adversarial networks

Reference 12

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Observation a1496061-38d0-4eb5-b280-4dbf440f0b78 · outbound

This paper cites Denoising diffusion restoration models.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Denoising diffusion restoration models

Reference 13

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Observation 19974e73-7c0a-4988-9f78-cf9b1ace581d · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration All-in-one image restoration for unknown corruption

Reference 14

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Observation 1d1392f3-c73c-4d9f-8b01-1891d4a4e4f1 · outbound

This paper cites Blind face restoration via deep multi-scale component dictionaries.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Blind face restoration via deep multi-scale component dictionaries

Reference 15

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Observation 29ec2263-6195-4036-9ae6-9121a3b74c58 · outbound

This paper cites Learning dual memory dictionaries for blind face restoration.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Learning dual memory dictionaries for blind face restoration

Reference 16

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Observation 34717853-a09d-45b0-b147-9a42629ec670 · outbound

This paper cites UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt

Reference 17

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Observation 4afa3380-ea81-4fe7-93cc-a9448d72681e · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 18

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Observation b247ae5f-7b52-4602-b7e9-d1b68e5a09c9 · outbound

This paper cites Preserving full degrada- tion details for blind image super-resolution.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Preserving full degrada- tion details for blind image super-resolution

Reference 19

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Observation 5a91894f-3af8-49c0-ac9a-628edcb5c138 · outbound

This paper cites The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation

Reference 20

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Observation dd618745-d662-4cda-a669-76e3444f7647 · outbound

This paper cites Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models

Reference 21

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Observation 83473c1a-479c-4777-979e-71d2ed426ff9 · outbound

This paper cites Conditional Generative Adversarial Nets.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Conditional Generative Adversarial Nets

Reference 22

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Observation e3d30abb-fee3-49fd-bde3-630755ad14f4 · outbound

This paper cites completely blind.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration completely blind

Reference 23

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Observation c7273ce5-af99-4141-afbf-21dbab3d7a8c · outbound

This paper cites Improved denoising diffusion probabilistic models.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Improved denoising diffusion probabilistic models

Reference 24

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Observation c8b7355b-202e-4f65-99f7-8530e37f8c11 · outbound

This paper cites Diffusion autoen- coders: Toward a meaningful and decodable representation.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Diffusion autoen- coders: Toward a meaningful and decodable representation

Reference 25

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Observation 82e67d74-29ee-4a76-bf81-aa07b6249671 · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration High-resolution image synthesis with latent diffusion models

Reference 26

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Observation 9fa26cea-f7f3-42c4-9897-9876bb76d282 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Photorealistic text-to-image diffusion models with deep language understanding

Reference 27

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Observation b0f461e1-c3f6-4aec-8888-e063c6cd613e · outbound

This paper cites Image super-resolution via iterative refinement.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Image super-resolution via iterative refinement

Reference 28

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Observation 02fa29cf-0b4d-4513-9068-ae4c0f38737f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 29

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Observation f8a04fea-db2e-41fa-8727-ae4bf117949b · outbound

This paper cites Denoising Diffusion Implicit Models.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Denoising Diffusion Implicit Models

Reference 30

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Observation 2501205b-087e-4f19-85ee-35c94820b759 · outbound

This paper cites O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation

Reference 31

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Observation fee9001e-6fc7-4f8d-86a0-fb9e4d20fd53 · outbound

This paper cites Promptre- storer: A prompting image restoration method with degrada- tion perception.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Promptre- storer: A prompting image restoration method with degrada- tion perception

Reference 32

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Observation fc34e153-4d75-4bdd-ac64-77f1111f07ee · outbound

This paper cites Unsuper- vised degradation representation learning for blind super- resolution.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Unsuper- vised degradation representation learning for blind super- resolution

Reference 33

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Source-reported events for the cited work

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Observation 95e89fa1-6f9c-4405-8443-1576a4919f55 · outbound

This paper cites PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal

Reference 34

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Observation 22850aed-7ebf-4b16-a119-66c3ea7d1f8b · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration To- wards real-world blind face restoration with generative facial prior

Reference 35

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

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Observation 7e6e6a55-4887-4912-bfa8-e5a11a463114 · outbound

This paper cites Zero-shot image restoration using denoising diffusion null-space model.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Zero-shot image restoration using denoising diffusion null-space model

Reference 36

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no resolver link, observed 2026-08-12T19:53:48.061068Z

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Observation 700a0d5e-902c-41b9-a89f-8b2a88925e3e · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Image quality assessment: from error visibility to structural similarity

Reference 37

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Observation bac4fbe3-f50a-451e-ba9e-4d10a8222fb7 · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Restoreformer: High-quality blind face restoration from undegraded key-value pairs

Reference 38

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

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Observation d6902d74-9886-4878-88a3-e6d024abacd7 · outbound

This paper cites Dr2: Diffusion-based robust degradation remover for blind face restoration.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Dr2: Diffusion-based robust degradation remover for blind face restoration

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-12T19:53:48.842780Z

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.

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Observation f85e9c4c-37bc-4c5f-9d26-11ebfd1c221f · outbound

This paper cites Unsupervised real-world image super resolution via domain-distance aware training.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Unsupervised real-world image super resolution via domain-distance aware training

Reference 40

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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.

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Observation 7ab76bdf-d8b6-4df8-b612-e086ac5f347d · outbound

This paper cites Deflow: Learning complex im- age degradations from unpaired data with conditional flows.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Deflow: Learning complex im- age degradations from unpaired data with conditional flows

Reference 41

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verified fuzzy
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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.

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Observation 1500fa65-f426-4866-bafe-aad969e3678f · outbound

This paper cites Diffir: Efficient diffusion model for image restoration.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Diffir: Efficient diffusion model for image restoration

Reference 42

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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.

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Observation ec65060b-5e9b-46df-aa25-a6c3fbfdbc03 · outbound

This paper cites Pgdiff: Guiding diffusion models for versatile face restoration via partial guidance.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Pgdiff: Guiding diffusion models for versatile face restoration via partial guidance

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:53:48.777226Z

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.

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Observation f7caa284-1439-4429-ad80-fece2c662294 · outbound

This paper cites Wider face: A face detection benchmark.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Wider face: A face detection benchmark

Reference 44

Resolution
verified fuzzy
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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=2026-08-12T19:53:48.098612Z digest=sha256:befa63e172b7e31df2e13f3edd486c6e2757bd40fc75cfbb7978232426fa676d

Observation 2c09596b-4cb9-45af-afff-98f5e391daf9 · outbound

This paper cites Gan prior embedded network for blind face restoration in the wild.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Gan prior embedded network for blind face restoration in the wild

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:53:48.743084Z

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=2026-08-12T19:53:48.105041Z digest=sha256:423a3aafc0968cfae62989c6007f224d468f3739d43cb0409451b62bbccba3d2

Observation d92f4154-e649-44fd-8074-d903996fe96a · outbound

This paper cites Neural Degradation Representation Learning for All-In-One Image Restoration.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Neural Degradation Representation Learning for All-In-One Image Restoration

Reference 46

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verified exact
local_arxiv, observed 2026-08-12T19:53:48.259632Z

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.

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Observation c985896b-2ea8-401a-8596-34862eb5d381 · outbound

This paper cites Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:53:48.115774Z digest=sha256:05f7e72fc31e71b2ccd3077c5f995663bd6cb1d562a3ce7f2968f0ddfac7ed66

Observation 705243f0-0af7-44bf-954b-04897369b3a6 · outbound

This paper cites Difface: Blind face restoration with diffused error contraction.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Difface: Blind face restoration with diffused error contraction

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:53:48.726210Z

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=2026-08-12T19:53:48.120970Z digest=sha256:b344e749e80e8f3dd1d85f166a4caf8eef749d65f7c1419c727ea8ddc97cd1ba

Observation 79c18066-312f-4c97-bc1d-5b3e7dbda92c · outbound

This paper cites Efficient Diffusion Model for Image Restoration by Residual Shifting.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Efficient Diffusion Model for Image Restoration by Residual Shifting

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T19:53:48.126272Z digest=sha256:3ac2cb9010bb28a7ab9118bc74ae883638bb2000f65bd7c6304ea842f257e217

Observation f9366b38-a9e8-4255-bbce-4b1eee35ebef · outbound

This paper cites Efficient Degradation-aware Any Image Restoration.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Efficient Degradation-aware Any Image Restoration

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:53:48.131040Z digest=sha256:080adcf3124a32b41eb7d9dee645329e65d6ec34f909f81bc2873ccb898b8321

Observation 0baf37a5-e69b-4945-a55d-2aa905295106 · outbound

This paper cites Styleswin: Transformer-based gan for high-resolution image genera- tion.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Styleswin: Transformer-based gan for high-resolution image genera- tion

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-12T19:53:48.710036Z

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=2026-08-12T19:53:48.136026Z digest=sha256:4b58772cffeaf80ab1246e20c004aed0412557e030575f688fa0745802cc7e47

Observation b00b77d7-c53f-4258-8c03-36f009a2b419 · outbound

This paper cites Learning a single convolutional super-resolution network for multiple degradations.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Learning a single convolutional super-resolution network for multiple degradations

Reference 52

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raw_fallback, observed 2026-08-12T19:53:48.693939Z

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=2026-08-12T19:53:48.140799Z digest=sha256:ab3f1d47c45b480366b1cd75e41af5f533424f8c9e15bb0c29ff43dd326ac7b4

Observation 192b8d74-8461-47c1-a43c-36eb6f1cb718 · outbound

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

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration The unreasonable effectiveness of deep features as a perceptual metric

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:53:48.145764Z digest=sha256:d0d937836929a9aad5389fc9cba0a940a56804508df91ae6e91fe67c94beaac3

Observation 4b0fa9e1-95ad-4392-8f3d-2431f2ea317f · outbound

This paper cites Selective hourglass mapping for universal image restoration based on diffusion model.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Selective hourglass mapping for universal image restoration based on diffusion model

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:53:48.667321Z

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=2026-08-12T19:53:48.151625Z digest=sha256:5d02de70899925ad39e08e42f614b9675dee51862a169033bb14344114c1ab51

Observation 3164eee7-973f-4036-99ba-2188ff1a8b88 · outbound

This paper cites Towards robust blind face restora- tion with codebook lookup transformer.

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration Towards robust blind face restora- tion with codebook lookup transformer

Reference 55

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verified fuzzy
raw_fallback, observed 2026-08-12T19:53:48.651249Z

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=2026-08-12T19:53:48.156689Z digest=sha256:d77179f186ed869a240db7b6598b2b0eb31a2aedbf2e808efe0907d09e8b73bc

Pith citing papers

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