Paper Citation Record · LEDGER

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2411.18824.

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

pith.paper-citation-record.v1
2411.18824 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:54:33.381595Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:41:03.812710Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:41:09.913300Z

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation 8af61ea3-3e9b-49da-9a06-a8cde784fc25 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation d4bcd6b7-b97b-4327-97cb-405690f7df16 · outbound

This paper cites Dream- clear: High-capacity real-world image restoration with privacy-safe dataset curation.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Dream- clear: High-capacity real-world image restoration with privacy-safe dataset curation

Reference 2

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Observation 9d924280-cfbe-4072-84aa-07bd4484fc19 · outbound

This paper cites Glean: Generative latent bank for large- factor image super-resolution.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Glean: Generative latent bank for large- factor image super-resolution

Reference 3

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Observation 32af437c-a270-4e77-809f-b69776fb8c41 · outbound

This paper cites Real-world blind super-resolution via feature matching with implicit high- resolution priors.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Real-world blind super-resolution via feature matching with implicit high- resolution priors

Reference 4

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Observation f37f8c21-4b37-44a8-93b9-f0294a630101 · outbound

This paper cites Pixart-α: Fast training of diffusion trans- former for photorealistic text-to-image synthesis.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Pixart-α: Fast training of diffusion trans- former for photorealistic text-to-image synthesis

Reference 5

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Observation 439e6300-7c76-45db-a9f4-a46e7ec9be35 · outbound

This paper cites Blind super-resolution with iterative kernel correction.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Blind super-resolution with iterative kernel correction

Reference 6

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Observation b594012e-a8ca-4221-9f81-d17255cffe08 · outbound

This paper cites Div8k: Diverse 8k resolution image dataset.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Div8k: Diverse 8k resolution image dataset

Reference 7

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Observation 3bd13d54-219e-4929-91b5-c3660388bde6 · outbound

This paper cites Classifier-Free Diffusion Guidance.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Classifier-Free Diffusion Guidance

Reference 8

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Observation 48ad6e3b-c27c-476a-95e5-03c1ed29afb8 · outbound

This paper cites Denoising diffu- sion probabilistic models.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Denoising diffu- sion probabilistic models

Reference 9

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Observation 3c5f6019-6d3f-497c-9164-b0aa5119b6c9 · outbound

This paper cites Animate anyone: Consistent and controllable image-to-video synthesis for character animation.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Animate anyone: Consistent and controllable image-to-video synthesis for character animation

Reference 10

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Observation 9fcd4a63-2c45-4e18-8037-6f9843c2a777 · outbound

This paper cites Un- folding the alternating optimization for blind super resolu- tion.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Un- folding the alternating optimization for blind super resolu- tion

Reference 11

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Observation bfecc160-3067-425e-85c1-eda79836c9bb · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution A style-based generator architecture for generative adversarial networks

Reference 12

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Observation 4d59e947-0816-4120-a301-b1ac4e662ce1 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Elucidating the design space of diffusion-based generative models

Reference 13

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Observation df650796-27cc-47ab-a9bd-2a1cb839687e · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Musiq: Multi-scale image quality transformer

Reference 14

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Observation 9128eb3c-432b-49fc-b58e-06232461b91a · outbound

This paper cites Auto-encoding variational bayes.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Auto-encoding variational bayes

Reference 15

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Observation 53db4cfc-8c6e-4b0f-bbd1-1c63c1ee132f · outbound

This paper cites PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System

Reference 16

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Observation e8c9dd6a-bc52-4305-ba27-468e8b9f936f · outbound

This paper cites Lsdir: A large scale dataset for image restoration.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Lsdir: A large scale dataset for image restoration

Reference 17

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Observation 270e5fc6-6d81-4d50-9379-4e31d49c22ae · outbound

This paper cites Efficient and degradation-adaptive network for real-world image super- resolution.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Efficient and degradation-adaptive network for real-world image super- resolution

Reference 18

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Observation 7aa01414-7980-4165-826c-7165feecea65 · outbound

This paper cites Details or artifacts: A locally discriminative learning approach to realistic image super-resolution.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Details or artifacts: A locally discriminative learning approach to realistic image super-resolution

Reference 19

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Observation 72e25830-ccf4-45f5-8444-c020d5cbd9bf · outbound

This paper cites Enhanced deep residual networks for single image super-resolution.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Enhanced deep residual networks for single image super-resolution

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.712545Z

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Observation 3cc2e494-72f1-4bcf-a5af-18250d4b4075 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 21

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Observation f5b8e78a-0355-401c-ad85-2088c7369142 · outbound

This paper cites Visual instruction tuning.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Visual instruction tuning

Reference 22

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Observation 8a974a5f-30e1-4456-85f5-39452ebff2a4 · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Sgdr: Stochastic gradient descent with warm restarts

Reference 23

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Observation 5348ff18-fcbb-4a0d-84f1-5ea6c009493d · outbound

This paper cites Decoupled weight decay regularization.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Decoupled weight decay regularization

Reference 24

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Observation 46acc9a6-074b-4c0a-80a2-e9b0843ec113 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 25

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Observation e3e9b139-1715-4ddc-8082-a62339ebb2b6 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 26

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Observation 7eca2509-5375-4bb1-9de2-39cb11c62b34 · outbound

This paper cites Xpsr: Cross-modal priors for diffusion-based image super-resolution.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Xpsr: Cross-modal priors for diffusion-based image super-resolution

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.661024Z

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Observation 2f699b1d-11d0-4dc5-a3bb-5979682014b0 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Learn- ing transferable visual models from natural language super- vision

Reference 28

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Observation 198bf628-27a0-41d9-adab-f5aac75c4c6b · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 29

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Observation 58414082-912c-4a3e-a13f-f92fafba8f60 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution High-resolution image syn- thesis with latent diffusion models

Reference 30

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Observation 725ef52a-4059-4901-8d70-34a9b4817a18 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution High-resolution image syn- thesis with latent diffusion models

Reference 31

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Observation 8ed4fa6e-cbf9-4be3-9274-b1e2b3a4ae26 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Photorealistic text-to-image diffusion models with deep language understanding

Reference 32

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Observation 59b5b1da-dab7-4ea4-8cca-cbab2885f57b · outbound

This paper cites What the DAAM: Interpreting Stable Diffusion Using Cross Attention.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution What the DAAM: Interpreting Stable Diffusion Using Cross Attention

Reference 33

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Observation 46a1aab1-bd93-4c40-8835-7d35ad10fa60 · outbound

This paper cites Emo: Emote portrait alive - generating expressive portrait videos with audio2video diffusion model under weak conditions.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Emo: Emote portrait alive - generating expressive portrait videos with audio2video diffusion model under weak conditions

Reference 34

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FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Unresolved cited work

Reference 35

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Observation 6b88ab8a-8461-48a1-a81d-ec00aea5e6aa · outbound

This paper cites Attention is all you need.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Attention is all you need

Reference 36

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Observation 4fe34f7f-c950-417c-8381-7cd49c74b644 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Ex- ploring clip for assessing the look and feel of images

Reference 37

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Observation 53d012b9-40f9-4143-80f8-55fe7d71c2bd · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Exploiting diffusion prior for real-world image super-resolution

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.581932Z

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Observation cb6660cd-0cde-413c-8799-ef6323e55158 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution To- wards real-world blind face restoration with generative facial prior

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.570732Z

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Observation af91890a-f62d-4c25-801a-6421b7a17013 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.558899Z

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Observation b8930574-250d-47c2-b9fb-5c48357a45e1 · outbound

This paper cites Seesr: Towards semantics-aware real-world image super-resolution.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Seesr: Towards semantics-aware real-world image super-resolution

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.548190Z

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Observation 7213e4b4-67b0-474e-9c49-149b895d4fb5 · outbound

This paper cites Desra: detect and delete the artifacts of gan-based real-world super-resolution models.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Desra: detect and delete the artifacts of gan-based real-world super-resolution models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.537528Z

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Observation 8eb3c11e-989c-44f3-aea7-2042673b8132 · outbound

This paper cites Pixel-aware stable diffusion for realistic im- age super-resolution and personalized stylization.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Pixel-aware stable diffusion for realistic im- age super-resolution and personalized stylization

Reference 43

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Observation 6e68bc04-2329-4736-abf6-0cb46f2d6039 · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.517180Z

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Observation cb594d91-7a5d-4624-b940-f51d0af8281e · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Learning a single convolutional super-resolution network for multiple degradations

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.504933Z

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Observation 1ce5c782-c1b6-4aa9-acf3-34cf492c4c78 · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Designing a practical degradation model for deep blind image super-resolution

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.493226Z

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Observation 2c924213-9fb8-4851-bfff-59c91b1877c8 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Adding conditional control to text-to-image diffusion models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.482435Z

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Observation 70b6d171-2602-4c6d-8926-b35b2757836f · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution The unreasonable effectiveness of deep features as a perceptual metric

Reference 48

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Observation fb3b9c6e-4c96-4e45-9b2d-ec54be964eff · outbound

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

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution Towards robust blind face restora- tion with codebook lookup transformer

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:54:33.462689Z

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Pith citing papers

Observation af2125c6-1916-4132-ab47-2657513f868d · inbound

Text-Aware Image Restoration with Diffusion Models cites this paper.

Text-Aware Image Restoration with Diffusion Models FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:41:09.916405Z

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