Paper Citation Record · LEDGER

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution

As of 23 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2505.00687.

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

pith.paper-citation-record.v1
2505.00687 v1

Coverage vector

measured 55 of 55 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-16T04:40:12.136532Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:52:38.562892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:31:16.658827Z

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation c23a2fb8-1787-4eac-8236-9917f1872f69 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.962526Z

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Observation 4409c4b1-8f2c-4c18-94e6-752614cf766a · outbound

This paper cites The perception-distortion tradeoff.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution The perception-distortion tradeoff

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.943637Z

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Observation a52b60a7-31d7-4af5-b679-b513f4e389f1 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Toward real-world single image super-resolution: A new benchmark and a new model

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.926197Z

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Observation b4339a31-05bb-40d7-b791-cbecfb6ffb67 · outbound

This paper cites Activating more pixels in image super- resolution transformer.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Activating more pixels in image super- resolution transformer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.909081Z

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Observation 9fed553a-7a3b-4fc5-a9b9-44bb6f426dac · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Imagenet: A large-scale hierarchical image database

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:11.883311Z

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Observation e0b7f698-fc28-43f8-900d-d8678cf1f9aa · outbound

This paper cites Genie: Higher-order denoising diffusion solvers.Advances in Neu- ral Information Processing Systems, 35:30150–30166, 2022.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Genie: Higher-order denoising diffusion solvers.Advances in Neu- ral Information Processing Systems, 35:30150–30166, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.879788Z

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Observation ae716f80-e0d4-45c0-968c-7734c54aec50 · outbound

This paper cites Learning a deep convolutional network for image super-resolution.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Learning a deep convolutional network for image super-resolution

Reference 7

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Observation 9449a295-f94b-4014-b084-2dd2e32defa6 · outbound

This paper cites Image and video upscal- ing from local self-examples.ACM Transactions on Graph- ics (ToG), 30(2):1–11, 2011.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Image and video upscal- ing from local self-examples.ACM Transactions on Graph- ics (ToG), 30(2):1–11, 2011

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.850168Z

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Observation 3870be08-cf9e-483e-808e-122f937f4f3c · outbound

This paper cites Super- resolution from a single image.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Super- resolution from a single image

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.832109Z

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Observation fb15d658-0917-42c9-b994-ae4cbf31f65a · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 10

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Observation 57d5373a-5a8c-499a-9f87-a22126453367 · outbound

This paper cites SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training

Reference 11

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Observation cc51eab5-6699-487b-81d4-a9da16bbd81a · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

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Observation 2c5c5904-e9aa-408d-8890-15a87f75aec4 · outbound

This paper cites Tfmq-dm: Temporal feature maintenance quantization for diffusion models.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Tfmq-dm: Temporal feature maintenance quantization for diffusion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.802574Z

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Observation 765f9cef-79f1-4721-9b58-0786832126f2 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution A style-based generator architecture for generative adversarial networks

Reference 14

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Observation 849a253f-6c88-4425-95d8-c331b7f874d0 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Denoising diffusion restoration models.Advances in Neural Information Processing Systems, 35:23593–23606,

Reference 15

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Observation 7ce6d981-4dce-49ee-ae31-994b7a081040 · outbound

This paper cites Bk-sdm: A lightweight, fast, and cheap ver- sion of stable diffusion.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Bk-sdm: A lightweight, fast, and cheap ver- sion of stable diffusion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.764835Z

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Observation 111bdebb-eeca-4867-b9f3-608f580c53ac · outbound

This paper cites Accurate image super-resolution using very deep convolutional net- works.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Accurate image super-resolution using very deep convolutional net- works

Reference 17

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Observation ac1264a4-c9cb-4dec-931e-e1dfad90377e · outbound

This paper cites Ensembling off-the-shelf models for gan training.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Ensembling off-the-shelf models for gan training

Reference 18

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Observation 02ea6044-3471-441b-8c74-910ee1e87b16 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 20

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Observation df61c639-f553-4dc6-ab63-bf1bea6e0411 · outbound

This paper cites Light the night: A multi-condition diffusion framework for unpaired low-light enhancement in autonomous driving.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Light the night: A multi-condition diffusion framework for unpaired low-light enhancement in autonomous driving

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.717541Z

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Observation 71b476bc-b0bf-4c2d-810d-83b966b1ab47 · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Q-diffusion: Quantizing diffusion models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.701000Z

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Observation 97bb3f20-e981-4708-a12c-f1af144c3904 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Swinir: Image restoration us- ing swin transformer

Reference 23

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Observation 2a4c1b5a-29d4-4b15-9682-e7f7f0b89e73 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Details or artifacts: A locally discriminative learning approach to realistic im- age super-resolution

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.674130Z

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Observation 7f0b99de-4841-4ac2-a4c9-bd3c65ad6685 · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 25

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Observation 5cf36d5e-1c0f-4174-9d93-9ab04641e1a9 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 26

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Observation cec8d874-e493-4023-b3b8-c5e37e424b54 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787,.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.Advances in Neural Information Processing Systems, 35:5775–5787,

Reference 27

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Observation b97a084f-6bc1-4ae0-9ebe-b4942b9f87e9 · outbound

This paper cites Codi: conditional diffusion distillation for higher-fidelity and faster image generation.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Codi: conditional diffusion distillation for higher-fidelity and faster image generation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.646416Z

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Observation 88a4c9d4-95a9-45f1-bb13-939a1ae0885d · outbound

This paper cites On distillation of guided diffusion models.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution On distillation of guided diffusion models

Reference 29

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Observation 793c25eb-758f-4de1-b810-bf82127e2cd1 · outbound

This paper cites Improved denoising diffusion probabilistic models.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Improved denoising diffusion probabilistic models

Reference 30

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Observation df2b0fba-4748-4967-87fd-e7ad6289aa67 · outbound

This paper cites One-Step Image Translation with Text-to-Image Models.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution One-Step Image Translation with Text-to-Image Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:12.014909Z

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Observation 78cc993f-e924-4582-ad12-35edba37f52c · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution High-resolution image synthesis with latent diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:12.019333Z

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Observation 5bcb375b-d961-484e-a0dd-393f99748cf3 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems, 35:36479–36494, 2022.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems, 35:36479–36494, 2022

Reference 33

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Observation faf83dd2-279f-43cf-925e-8ec933161d64 · outbound

This paper cites Image super-resolution via iterative refinement.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4713– 4726, 2022.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Image super-resolution via iterative refinement.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4713– 4726, 2022

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.589648Z

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Observation ac4b7b8f-3ed8-4ab4-98ef-40009b9fa471 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Progressive Distillation for Fast Sampling of Diffusion Models

Reference 35

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Observation 30015edb-dd45-4c62-a4c4-dff76af3b3ae · outbound

This paper cites Fast high- resolution image synthesis with latent adversarial diffusion distillation.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Fast high- resolution image synthesis with latent adversarial diffusion distillation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.574383Z

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Observation 151e5401-a408-47ec-815e-4aeb289dcbb8 · outbound

This paper cites Adversarial diffusion distillation.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Adversarial diffusion distillation

Reference 37

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Observation 707ce46b-4bfd-4e47-8afb-bf35582ee791 · outbound

This paper cites Denoising Diffusion Implicit Models.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Denoising Diffusion Implicit Models

Reference 38

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Observation 5cd813bd-02c3-41b9-9609-14b8879ae36c · outbound

This paper cites ControlSR: Taming Diffusion Models for Consistent Real-World Image Super Resolution.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution ControlSR: Taming Diffusion Models for Consistent Real-World Image Super Resolution

Reference 39

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Observation ee9330fc-4e69-4223-8f98-37eca2b62302 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.International Journal of Computer Vision, pages 1–21, 2024.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Exploiting diffusion prior for real-world image super-resolution.International Journal of Computer Vision, pages 1–21, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.546841Z

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Observation c449584c-cd17-4b98-a915-5851d3caf8b6 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Esrgan: En- hanced super-resolution generative adversarial networks

Reference 41

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Observation b533b242-4c1f-4ca7-9d9d-e0267cd9529a · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:12.067476Z

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Observation bd847c3c-60e9-4460-bc49-ed1d7af5ecc3 · outbound

This paper cites SinSR: Diffusion-Based Image Super-Resolution in a Single Step.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution SinSR: Diffusion-Based Image Super-Resolution in a Single Step

Reference 43

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Observation ad037640-b85d-40e3-929e-6d4309fa906f · outbound

This paper cites Component divide- and-conquer for real-world image super-resolution.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Component divide- and-conquer for real-world image super-resolution

Reference 44

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Observation 1c0a54b9-0a90-404e-98af-6be8d8bbe3fd · outbound

This paper cites SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Reference 45

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Observation 88bcbacd-7bc2-4fda-ac6e-04b18a8ba213 · outbound

This paper cites One-Step Effective Diffusion Network for Real-World Image Super-Resolution.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Reference 46

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Observation 79570635-e475-468d-8e06-a5c91fade210 · outbound

This paper cites Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 47

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Observation c8399629-b7e3-4135-847b-d2765b25017f · outbound

This paper cites Ufogen: You forward once large scale text-to-image gener- ation via diffusion gans.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Ufogen: You forward once large scale text-to-image gener- ation via diffusion gans

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.500807Z

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Observation 9b23fcf6-6713-47bc-ab07-13729faf6266 · outbound

This paper cites Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

Reference 49

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Observation de165a7d-c68a-4f87-87ef-c3f445af3583 · outbound

This paper cites ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting

Reference 50

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This paper cites Designing a practical degradation model for deep blind 10 image super-resolution.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Designing a practical degradation model for deep blind 10 image super-resolution

Reference 51

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Observation 55d298a8-20ca-4183-8f1d-859184025794 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Adding conditional control to text-to-image diffusion models

Reference 52

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Observation 2ac2e30f-21bb-4d6b-8037-c4c1313b84c0 · outbound

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

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution The unreasonable effectiveness of deep features as a perceptual metric

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:12.122632Z

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Observation 8561e702-70c5-4058-842f-4202857701ee · outbound

This paper cites Efficient long-range attention network for image super- resolution.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Efficient long-range attention network for image super- resolution

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.446272Z

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Observation 52a66996-6f43-4d04-a1d3-5ac291396c4b · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Image super-resolution using very deep residual channel attention networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:40:12.429425Z

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Observation 9dd0a548-118b-4e08-a318-1803140892d4 · outbound

This paper cites Recognize Anything: A Strong Image Tagging Model.

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution Recognize Anything: A Strong Image Tagging Model

Reference 56

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Pith citing papers

Observation 554b869f-a8d7-4604-94cb-f92865ee0212 · inbound

4KAgent: Agentic Any Image to 4K Super-Resolution cites this paper.

4KAgent: Agentic Any Image to 4K Super-Resolution GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:52:38.562892Z

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Observation ef23f86f-babe-42e0-883e-594080c99405 · inbound

GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution cites this paper.

GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:16.664902Z

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