Paper Citation Record · LEDGER

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.16175.

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

pith.paper-citation-record.v1
2411.16175 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:32:40.894343Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 7a6ea335-630e-422d-979e-01ab338ee40c · outbound

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation 2b90583a-841a-4f14-93ae-73c3ee273ba4 · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Toward real-world single image super-resolution: A new benchmark and a new model

Reference 2

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Observation 6c631aaa-8064-419d-8131-161bba87d2d5 · outbound

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Real-world blind super-resolution via feature matching with implicit high- resolution priors

Reference 3

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This paper cites Low-res leads the way: Improving generalization for super- resolution by self-supervised learning.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Low-res leads the way: Improving generalization for super- resolution by self-supervised learning

Reference 4

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Observation bf001bb7-46c4-4439-b4e7-96c6375336a2 · outbound

This paper cites Zero-shot im- age super-resolution with depth guided internal degradation learning.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Zero-shot im- age super-resolution with depth guided internal degradation learning

Reference 5

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Observation 2e4aa3a0-3de7-4187-9cef-7d8802b8d847 · outbound

This paper cites Efficient test-time adapta- tion for super-resolution with second-order degradation and reconstruction.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Efficient test-time adapta- tion for super-resolution with second-order degradation and reconstruction

Reference 6

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Observation d33149f4-48e7-4904-a53d-7035a1a6dbeb · outbound

This paper cites Im- age style transfer using convolutional neural networks.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Im- age style transfer using convolutional neural networks

Reference 7

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Observation 841ea67a-f4c9-40d9-8a63-e84c0cd4c739 · outbound

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Blind super-resolution with iterative kernel correction

Reference 8

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Observation 3725f00e-b286-4885-8eba-327f6b230e25 · outbound

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Un- folding the alternating optimization for blind super resolu- tion

Reference 9

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Observation 7f3958a8-5188-4448-9bac-4af34e0277bd · outbound

This paper cites Dslr-quality photos on mobile devices with deep convolutional networks.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Dslr-quality photos on mobile devices with deep convolutional networks

Reference 10

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Observation c5308571-f038-4c5a-a603-6e151bae27dc · outbound

This paper cites Analyzing and improv- ing the image quality of stylegan.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Analyzing and improv- ing the image quality of stylegan

Reference 11

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Observation 220a7aa3-c229-42bd-9546-1bcaec1ad808 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Adam: A Method for Stochastic Optimization

Reference 12

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Observation 8afda3a1-49fb-47f1-acbb-58d99c77dd44 · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 13

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Observation e0ccb082-be73-409e-a94c-9353be1175ed · outbound

This paper cites Swinir: Image restoration us- ing swin transformer.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Swinir: Image restoration us- ing swin transformer

Reference 14

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Observation a7af5795-f1a0-4fcd-bce2-5f269e4985e1 · outbound

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Enhanced deep residual networks for single image super-resolution

Reference 15

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Observation a6220727-028a-4a87-8a0a-604248a7896f · outbound

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Catch missing details: Image reconstruction with frequency augmented variational autoencoder

Reference 16

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Observation 7b9a7de9-144c-4398-b292-24290063a6ca · outbound

This paper cites On bayesian adaptive video super resolution.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution On bayesian adaptive video super resolution

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:32:41.558521Z

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Observation 641d4b01-c6e9-480e-8ecf-57e1991b56fd · outbound

This paper cites Degae: A new pretraining paradigm for low-level vision.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Degae: A new pretraining paradigm for low-level vision

Reference 18

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Observation 222c6b63-5f90-435e-bf09-8f408b9462db · outbound

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 19

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Observation b55b300f-8f2b-48ee-bc04-1de98d9cfc71 · outbound

This paper cites Aim 2019 challenge on real-world image super-resolution: Methods and results.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Aim 2019 challenge on real-world image super-resolution: Methods and results

Reference 20

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Observation 2e80e99b-b33e-4f5e-a332-ed34df42a55c · outbound

This paper cites Ntire 2020 challenge on real-world image super-resolution: Methods and results.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Ntire 2020 challenge on real-world image super-resolution: Methods and results

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:32:41.473540Z

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Observation 6755518d-1751-4dae-9ff9-83dc52072728 · outbound

This paper cites Learning a no-reference quality metric for single-image super-resolution.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Learning a no-reference quality metric for single-image super-resolution

Reference 22

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Observation 019b5cc9-8960-45c7-bd27-a2a431b6c82c · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Learning transferable visual models from natural language supervi- sion

Reference 23

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Observation 95c0ac60-c2b7-421f-bb56-2da720f903dc · outbound

This paper cites Unpaired real-world super-resolution with pseudo controllable restora- 9 tion.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Unpaired real-world super-resolution with pseudo controllable restora- 9 tion

Reference 24

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Observation c047eebd-b04c-4350-8dbf-81a758217665 · outbound

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High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution zero-shot

Reference 25

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 26

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Meta- transfer learning for zero-shot super-resolution

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:32:41.358601Z

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This paper cites A+: Adjusted anchored neighborhood regression for fast super- resolution.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution A+: Adjusted anchored neighborhood regression for fast super- resolution

Reference 28

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Observation 7b676372-4333-4159-9c31-3024dc83e726 · outbound

This paper cites Ntire 2018 chal- lenge on single image super-resolution: Methods and results.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Ntire 2018 chal- lenge on single image super-resolution: Methods and results

Reference 29

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Observation 491ebf76-7339-47bd-90c0-fc08103fcbd5 · outbound

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High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Convolu- tional visual prompt for robust visual perception

Reference 30

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Observation f042090c-0d08-418c-ab3c-7b0b913d9497 · outbound

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Exploiting diffusion prior for real-world image super-resolution

Reference 31

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 32

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Unsupervised real-world image super resolution via domain-distance aware training

Reference 33

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This paper cites Image super-resolution as sparse representation of raw image patches.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Image super-resolution as sparse representation of raw image patches

Reference 34

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This paper cites Deep unfold- ing network for image super-resolution.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Deep unfold- ing network for image super-resolution

Reference 35

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Designing a practical degradation model for deep blind image super-resolution

Reference 36

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

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution The unreasonable effectiveness of deep features as a perceptual metric

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:32:41.164451Z

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Observation c025fb06-905a-44e2-9ce3-1ab65915ea7f · outbound

This paper cites Crafting training degradation distribution for the accuracy-generalization trade-off in real- world super-resolution.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Crafting training degradation distribution for the accuracy-generalization trade-off in real- world super-resolution

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:32:41.138599Z

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Observation 47f6e4fe-06d8-4ec4-ab28-162c573678a6 · outbound

This paper cites Real-world image super-resolution as multi-task learning.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Real-world image super-resolution as multi-task learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T13:32:40.874382Z

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Observation c2ffc146-86d9-4ad9-806f-f298943cabbf · outbound

This paper cites Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution

Reference 40

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Observation dab272fe-bbd5-4277-8a8e-6c49cab8c18e · outbound

This paper cites Joint sub-bands learning with clique structures for wavelet domain super-resolution.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Joint sub-bands learning with clique structures for wavelet domain super-resolution

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:32:41.103672Z

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Observation d3c1cd48-5568-4fcd-ae38-d50f637abd22 · outbound

This paper cites Guided frequency separation network for real-world super- resolution.

High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution Guided frequency separation network for real-world super- resolution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:32:41.084075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

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