Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration | Paper Citation Record

Observation b7ff5edb-0515-43fc-9e04-efa1bfbf27be · outbound

This paper cites GPT-4 Technical Report.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.273235Z

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Observation cfba42aa-bff3-431b-b494-ac97980136ee · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.277155Z

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Observation 0b898b5e-0e0c-4785-876d-f8426e467321 · outbound

This paper cites DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.280563Z

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Observation b1462394-f326-43c6-9226-5850aa778f0c · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Building Normalizing Flows with Stochastic Interpolants

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.284382Z

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Observation 86d21a47-b5b3-4f65-a4ff-8b10b9ad6ef9 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Toward real-world single image super-resolution: A new benchmark and a new model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.287880Z

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Observation f76c84b6-28ea-413f-9c39-8e662064c31d · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Real-world blind super- resolution via feature matching with implicit high-resolution priors

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.291189Z

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Observation cdede44c-8c6c-45d5-bec9-8d744889d631 · outbound

This paper cites Masked image training for generalizable deep image denoising.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Masked image training for generalizable deep image denoising

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.294653Z

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Observation 83ce80af-bbfe-4937-8c85-7c9ac1589242 · outbound

This paper cites CasSR: Activating Image Power for Real-World Image Super-Resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration CasSR: Activating Image Power for Real-World Image Super-Resolution

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.298369Z

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Observation 120c8a00-65b2-4fa4-89d1-aa2e2be2db94 · outbound

This paper cites Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.302288Z

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Observation 5d36bb64-f1a2-425c-ad0a-355deb12ff60 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Pixart-α: Fast training of diffusion transformer for photorealistic text-to-image synthesis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.305616Z

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Observation 1481c89d-9dc4-4f6e-9d23-fc5d8d639999 · outbound

This paper cites Dual aggregation transformer for image super-resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Dual aggregation transformer for image super-resolution

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.308940Z

Source-reported events for the cited work

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Observation 01bb7e8c-4e02-43fe-91f9-ccc9b0e9d50d · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Image Super-Resolution with Text Prompt Diffusion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.312143Z

Source-reported events for the cited work

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Observation b8802951-da18-418a-a662-22c7700c012c · outbound

This paper cites Hierarchical integration diffusion model for realistic image deblurring.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Hierarchical integration diffusion model for realistic image deblurring

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.315657Z

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Observation 0fe5e74f-56ba-4946-9e13-5bda72619819 · outbound

This paper cites Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.318813Z

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Observation fbd75872-b737-47e7-810e-2e25665bf7c0 · outbound

This paper cites Second-order attention network for single image super- resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Second-order attention network for single image super- resolution

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.322643Z

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Observation ac1f4be9-df2b-4932-907c-e525af17f965 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Diffusion models beat gans on image synthesis

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.325765Z

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Observation 0fd9feb8-2796-40e2-9d00-519d9c9bf6f1 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Learning a deep convolutional network for image super-resolution

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.329280Z

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Observation 1870fd40-c36c-481b-87b1-49301f8050b1 · outbound

This paper cites Image super-resolution using deep convolutional networks.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Image super-resolution using deep convolutional networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.332422Z

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Observation 095137a0-21fc-43df-b1fc-4bda29e31da9 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Scaling rectified flow transformers for high-resolution image synthesis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.335548Z

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Observation 40fe5cd9-894f-45a1-8770-d797c96484d5 · outbound

This paper cites AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:34:58.943035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cda64bae-b9f5-4a94-8d76-bb31d1ab8016 · outbound

This paper cites Frequency separation for real-world super-resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Frequency separation for real-world super-resolution

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.342148Z

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Observation 92d86c3c-0a9d-4473-9822-1bf997f4ec38 · outbound

This paper cites The Llama 3 Herd of Models.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration The Llama 3 Herd of Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.345311Z

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Observation d7254d64-a120-4a51-9247-f8d4a2a30f3e · outbound

This paper cites Boot: Data-free distillation of denoising diffusion models with bootstrapping.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Boot: Data-free distillation of denoising diffusion models with bootstrapping

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.348430Z

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Observation 3c04188a-2a10-48ab-942b-0e976a9b068d · outbound

This paper cites Improving Consistency in Diffusion Models for Image Super-Resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Improving Consistency in Diffusion Models for Image Super-Resolution

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:34:58.919487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b6df04e3-0976-4c24-bf39-3556cce8f3eb · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Div8k: Diverse 8k resolution image dataset

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.355384Z

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Observation 71501750-3b9f-40ef-a229-08ed96c9d18e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.358535Z

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Observation ef73e796-365a-4e70-bb4e-96e03e069f50 · outbound

This paper cites Ode-inspired network design for single image super-resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Ode-inspired network design for single image super-resolution

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.361623Z

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Observation 666e9527-fa86-4a38-a880-270f5ff50d52 · outbound

This paper cites Denoising diffusion probabilistic models.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Denoising diffusion probabilistic models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.364885Z

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Observation 57263dbf-45d6-4f35-a9e0-3fb8333834e4 · outbound

This paper cites Squeeze-and-excitation networks.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Squeeze-and-excitation networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.368155Z

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Observation 9cf14e7a-12e0-43bd-8295-637ecc73e099 · outbound

This paper cites Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.371225Z

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Observation 0ee1df9a-6a0d-46d1-ab18-957f0bd6fbea · outbound

This paper cites InstantIR: Blind Image Restoration with Instant Generative Reference.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration InstantIR: Blind Image Restoration with Instant Generative Reference

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:34:58.895699Z

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Observation c07fde55-1778-44ef-b20f-1caf51f117a5 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Musiq: Multi-scale image quality transformer

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.377858Z

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Observation d142adb1-5fd6-4799-a411-b7433f71025b · outbound

This paper cites Diffusionclip: Text-guided diffusion models for robust image manipulation.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Diffusionclip: Text-guided diffusion models for robust image manipulation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.381212Z

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Observation fd980427-2033-4bc7-bb80-a79437ba4298 · outbound

This paper cites Arbitrary-scale image generation and upsampling using latent diffusion model and implicit neural decoder.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Arbitrary-scale image generation and upsampling using latent diffusion model and implicit neural decoder

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.384408Z

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Observation 6ee8293e-8056-488b-861e-2512269327a6 · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.387544Z

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Observation 194a7e1a-5f04-4d3b-a205-4b57529d907f · outbound

This paper cites Kingma and Max Welling.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Kingma and Max Welling

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.390459Z

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Observation 71a08335-e33b-40bc-be72-17d7c3aadc92 · outbound

This paper cites an unresolved cited work.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.393643Z

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Observation 7e1b042d-5bf7-400d-b650-5f699250db5d · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Photo-realistic single image super-resolution using a generative adversarial network

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.396705Z

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Observation 50666879-235a-49bd-a151-17f06ee9ee9e · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.399670Z

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Observation 8a695a8e-6885-4643-8aba-03a68ed67dd9 · outbound

This paper cites Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.403188Z

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Observation 2b80e9ce-dd5e-43ba-88ce-889d22ec23e1 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Lsdir: A large scale dataset for image restoration

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.453446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c80c649a-20ad-4f9e-9f5b-eca718c0949a · outbound

This paper cites Swinir: Image restoration using swin transformer.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Swinir: Image restoration using swin transformer

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.442719Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79ea4f95-ccbc-4e0a-a7ee-d3a1b5d6b0e5 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Efficient and degradation-adaptive network for real-world image super-resolution

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.432513Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7de0c49c-13eb-46cb-b607-09304c98ee1c · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Enhanced deep residual networks for single image super-resolution

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.421004Z

Source-reported events for the cited work

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Observation cd01e2b0-9766-49f6-a253-92f5d5831efa · outbound

This paper cites Common diffusion noise schedules and sample steps are flawed.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Common diffusion noise schedules and sample steps are flawed

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.411041Z

Source-reported events for the cited work

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Observation 55b4f5ac-201f-4e10-9f97-8b2bd3bfc742 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.422099Z

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Observation 90b5e2f2-dd4e-40fd-8cd4-9b76cb448fa4 · outbound

This paper cites Flow Matching for Generative Modeling.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Flow Matching for Generative Modeling

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.425570Z

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Observation 4285abb8-f7b2-4885-b874-e58b2e1dad5c · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.428894Z

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Observation bab6973b-21af-4aa3-b933-ca5febd699ef · outbound

This paper cites PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.432504Z

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Observation 20ab1d9e-6697-4114-8128-c7efc7760d3c · outbound

This paper cites Decoupled Weight Decay Regularization.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Decoupled Weight Decay Regularization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.435994Z

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Observation e76f1896-de6e-4568-95d0-13c9597524b9 · outbound

This paper cites Unpaired image super-resolution using pseudo-supervision.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Unpaired image super-resolution using pseudo-supervision

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.400952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7ab9392-0b5c-4554-89f5-f8a3da8857fd · outbound

This paper cites Scalable diffusion models with transformers.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Scalable diffusion models with transformers

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.443182Z

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Observation bf79c700-7cc2-4370-baac-35fd476d22f3 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.446924Z

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Observation 48647663-ba4c-4d91-b1a1-6c5e27bf556d · outbound

This paper cites SPIRE: Semantic Prompt-Driven Image Restoration.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration SPIRE: Semantic Prompt-Driven Image Restoration

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.451055Z

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Observation 91b2b865-2def-40d1-9087-3dafb3152889 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Xpsr: Cross-modal priors for diffusion-based image super-resolution

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.384916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef78f092-a433-4da5-abdb-351308bb1c75 · outbound

This paper cites Neumann network with recursive kernels for single image defocus deblurring.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Neumann network with recursive kernels for single image defocus deblurring

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.373967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8278d7c7-39f3-4ea2-b317-4fc8766cdcce · outbound

This paper cites Learning transferable visual models from natural language supervision.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Learning transferable visual models from natural language supervision

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.461214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 361dd4ec-df4d-4276-b8be-8c64ad11a245 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67,.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.347809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f31adbd-d6e1-4131-b458-6bf606fc533b · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.472075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3035b50b-549d-4a7b-af22-6a9da44b035d · outbound

This paper cites Moe-diffir: Task-customized diffusion priors for universal compressed image restoration.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Moe-diffir: Task-customized diffusion priors for universal compressed image restoration

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.337697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cdc6b212-ab7d-4442-b6b9-787116dcd9e5 · outbound

This paper cites Real-world blur dataset for learning and benchmarking deblurring algorithms.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Real-world blur dataset for learning and benchmarking deblurring algorithms

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.326339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 270b126b-b0a5-492c-b5ad-cc04a0c931a7 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration High-resolution image synthesis with latent diffusion models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.482415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8902a94d-402e-4151-9a4c-3651587339d3 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration U-net: Convolutional networks for biomedical image segmentation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.486057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65d7a525-c89b-4d85-9548-bfdee2599cb8 · outbound

This paper cites Enhancenet: Single image super-resolution through automated texture synthesis.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Enhancenet: Single image super-resolution through automated texture synthesis

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.303006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2af5f65-7b74-4dba-844e-dc0c9387b1c4 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Deep unsupervised learning using nonequilibrium thermodynamics

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.292728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e660d88-a6ed-4ec3-8484-0e6d81e691f6 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Generative modeling by estimating gradients of the data distribution

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.282117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83359dfe-1322-43c2-ba52-2b5418812e76 · outbound

This paper cites Coser: Bridging image and language for cognitive super-resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Coser: Bridging image and language for cognitive super-resolution

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.270876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 680cd42e-8aa0-4d22-9026-1423674ccf3b · outbound

This paper cites Improving the stability of diffusion models for content consistent super-resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Improving the stability of diffusion models for content consistent super-resolution

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.261240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 737a67ae-a6a0-4ea8-9871-f107dd0b651b · outbound

This paper cites Scale-recurrent network for deep image deblurring.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Scale-recurrent network for deep image deblurring

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.251596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ae409c4-0e62-4346-a933-b4a0e11e34fc · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.508925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ced26e-68db-4184-aa6d-7bee4524c872 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration LLaMA: Open and Efficient Foundation Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.512622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe668e4-0131-4d50-8dbb-0fdc3a8f2c10 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration ControlSR: Taming Diffusion Models for Consistent Real-World Image Super Resolution

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.517054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f0bd098-2a91-4dbb-8e45-e138ca804f2f · outbound

This paper cites Bringing old photos back to life.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Bringing old photos back to life

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.241498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d513cfb-1f2c-453e-9d30-797df9fb2e60 · outbound

This paper cites Exploring clip for assessing the look and feel of images.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Exploring clip for assessing the look and feel of images

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.231011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e5dc48cf-55ee-4216-beac-69463abd2e34 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Exploiting diffusion prior for real-world image super-resolution

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.219599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05e85d44-7b64-4cfc-971a-2ee2a4f823bb · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Unsupervised degradation representation learning for blind super-resolution

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.208412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 208887c9-93ff-407b-82b7-149bc3293f1b · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.197939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 245b8f69-1404-42ed-b297-e15105ec0d09 · outbound

This paper cites Sinsr: diffusion-based image super-resolution in a single step.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Sinsr: diffusion-based image super-resolution in a single step

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.188012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89780dc2-9a3a-41ad-b23d-9347cf3bcaf8 · outbound

This paper cites Lg-bpn: Local and global blind-patch network for self-supervised real-world denoising.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Lg-bpn: Local and global blind-patch network for self-supervised real-world denoising

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.178390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0944db2f-0d8f-4adf-9607-db8e3f025979 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Component divide-and-conquer for real-world image super-resolution

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.168138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40221173-b5ae-4201-8a01-4643a4963bec · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Unsupervised real-world image super resolution via domain-distance aware training

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.158024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ffebe31-ec41-4bfe-bdef-27d4adafc650 · outbound

This paper cites Deblurring via stochastic refinement.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Deblurring via stochastic refinement

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.147812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 287f7869-b686-4e21-895d-fe084c09462e · outbound

This paper cites Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:34:58.762569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 601d5951-fca0-4814-8e57-2ddbe98eb658 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.557200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d63e3d5-9d27-4bdf-a12b-0d928ebd4c30 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Seesr: Towards semantics-aware real-world image super-resolution

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.137316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7dd1d7b6-7ad4-4c61-a172-197b98ad6ca7 · outbound

This paper cites Gan inversion: A survey.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Gan inversion: A survey

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.126457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 724ec3e6-7045-485e-a780-a267f0534d22 · outbound

This paper cites DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:34:58.738829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f50c048-a2c2-48fc-9f24-a2544a85e198 · outbound

This paper cites SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.570832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56403a80-3d63-4587-a21d-6cb9a2f748e2 · outbound

This paper cites AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.574320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b514313-0c6c-4e7f-ada4-acb66f271ffe · outbound

This paper cites Qwen2.5 Technical Report.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Qwen2.5 Technical Report

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.577556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccfcc6f7-6a7a-43af-8a50-360b10238f77 · outbound

This paper cites Maniqa: Multi- dimension attention network for no-reference image quality assessment.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Maniqa: Multi- dimension attention network for no-reference image quality assessment

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.115286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 864300a5-1fe0-4b39-9bb6-62de67c72784 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.584191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce50c4f-7d2c-4bec-8e1b-1c5d74f17d04 · outbound

This paper cites FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.587576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6351c962-b103-4522-8f2b-4097ef0e7475 · outbound

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

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.104023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eba5e39e-f3cb-4fa5-b453-293c63113ed6 · outbound

This paper cites Resshift: Efficient diffusion model for image super-resolution by residual shifting.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Resshift: Efficient diffusion model for image super-resolution by residual shifting

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.092380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 147a7d54-c158-4f2e-b650-06da93bbd01c · outbound

This paper cites Pixel-Space Post-Training of Latent Diffusion Models.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Pixel-Space Post-Training of Latent Diffusion Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.597520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb756f8-ae13-4253-aa7e-483958497783 · outbound

This paper cites Gsdd: Generative space dataset distillation for image super- resolution.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Gsdd: Generative space dataset distillation for image super- resolution

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.081914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 991ac949-70e4-4b8a-9836-6ef93115cbb3 · outbound

This paper cites Blind Image Super-Resolution via Contrastive Representation Learning.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Blind Image Super-Resolution via Contrastive Representation Learning

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.603967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b41793d0-9a1c-4163-a406-33a1fb35e346 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:34:59.070869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 471f486f-2785-4602-ad72-fa03bbec1531 · outbound

This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration Ffdnet: Toward a fast and flexible solution for cnn-based image denoising

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T11:34:58.610730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers