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Paper Citation Record · LEDGER

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training

As of 16 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 1 inbound Pith citation observation for arXiv:2507.20291.

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

pith.paper-citation-record.v1
2507.20291 v1

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:46:27.447917Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:33:09.233852Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:33:14.562989Z

Reference resolution

91 of 91 outbound references displayed

  • verified exact1
  • verified fuzzy40
  • unresolved50
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 737033ab-9e9b-4e8f-8926-1ce34375aba5 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation 8f06db94-6fe3-4ccd-a27d-4c301ab6c9f9 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 38cfe68a-904e-4c99-94bd-45db1a5baef4 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Toward real-world single image super-resolution: A new benchmark and a new model

Reference 3

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Observation 01e9aeea-e2e7-44d5-a9ca-bbff0f1183d8 · outbound

This paper cites Adversarial Diffusion Compression for Real-World Image Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Adversarial Diffusion Compression for Real-World Image Super-Resolution

Reference 4

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Observation 74d6d85e-ef59-416a-9a5e-0dbaf8ff26b9 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Real-world blind super-resolution via feature matching with implicit high- resolution priors

Reference 5

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Observation bb0e9c39-bb6d-43f4-9e8e-3ab4cb7c4150 · outbound

This paper cites Topiq: A top-down approach from semantics to distortions for image quality assessment.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Topiq: A top-down approach from semantics to distortions for image quality assessment

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de21e070-c735-4b02-9d3b-65118f5fc04f · outbound

This paper cites Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution

Reference 7

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Unavailable: canonical work link unavailable.

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Observation dc4e34dd-e12d-4197-b0ec-c88d822e6921 · outbound

This paper cites Toward gen- eralized image quality assessment: Relaxing the perfect ref- erence quality assumption.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Toward gen- eralized image quality assessment: Relaxing the perfect ref- erence quality assumption

Reference 8

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Observation 1dcad351-2373-4e0a-a96c-1fe56fd37496 · outbound

This paper cites Pre-trained image processing transformer.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Pre-trained image processing transformer

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T13:46:20.546650Z digest=sha256:5270f837f2d80fc7b66846b32e9d3f87385f88e2b8eebb55c7f9944bee0971c7

Observation 13f7c39d-506d-4ade-a750-85825c661aae · outbound

This paper cites Scene text tele- scope: Text-focused scene image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Scene text tele- scope: Text-focused scene image super-resolution

Reference 10

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Observation dd7447c7-878a-4c0b-8bbf-849358560e89 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Activating more pixels in image super- resolution transformer

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 68101422-1493-4f40-a0b0-b9da8cbc052a · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Dual aggregation transformer for image super-resolution

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 085dbd00-ec12-4ab2-b5d2-af0c85a1c628 · outbound

This paper cites Feedback network for mutually boosted stereo image super-resolution and disparity estimation.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Feedback network for mutually boosted stereo image super-resolution and disparity estimation

Reference 13

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Unavailable: canonical work link unavailable.

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Observation fb4caca7-91e0-493f-a9d0-7b67cca2282d · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Second-order attention network for single im- age super-resolution

Reference 14

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Observation 35ba8b3a-b4c8-4240-86ed-d7d7cffa97de · outbound

This paper cites Diffusion models beat gans on image synthesis.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Diffusion models beat gans on image synthesis

Reference 15

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Observation 716f4c70-5b31-420f-aa76-b3e372f03b31 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Image quality assessment: Unifying structure and texture similarity

Reference 16

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Observation c8e7a014-1628-4004-9883-7c13e64016eb · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Learning a deep convolutional network for image super-resolution

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0d5e5fa2-66b1-4aae-8c56-46a9d30da2bf · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 18

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Observation a67c737d-a346-4461-8d99-a4a106e1fa2b · outbound

This paper cites Generative adversarial nets.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Generative adversarial nets

Reference 19

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Observation 6f011e75-34d4-4f62-b889-a91de7c19d80 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Blind super-resolution with iterative kernel correction

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 184c16c4-f8e2-497f-b2aa-fe28f5131c2e · outbound

This paper cites Deep residual learning for image recognition.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Deep residual learning for image recognition

Reference 21

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Observation bf095142-f633-4ca7-96b7-3ef4b068217c · outbound

This paper cites Denoising dif- fusion probabilistic models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Denoising dif- fusion probabilistic models

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2e8739da-e572-4cb3-8888-bca048d9be5d · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

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Observation 1b3f5eb7-cdca-49eb-b4dd-7f2441d1f24e · outbound

This paper cites Single image super-resolution from transformed self-exemplars.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Single image super-resolution from transformed self-exemplars

Reference 24

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b51e801d-d19c-48de-ab3f-b96a479f1569 · outbound

This paper cites Percep- tual losses for real-time style transfer and super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Percep- tual losses for real-time style transfer and super-resolution

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3d2027d6-d2d2-4623-9914-91372acdd3ba · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training A style-based generator architecture for generative adversarial networks

Reference 26

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b336f784-8818-4349-b1b9-f061bae9bedb · outbound

This paper cites Snips: Solving noisy inverse problems stochastically.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Snips: Solving noisy inverse problems stochastically

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f7a49e9e-555d-459e-bf86-a628841cf935 · outbound

This paper cites Denoising diffusion restoration models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Denoising diffusion restoration models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:35.298099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fd33a391-924b-4d04-8ab5-b41b371f9b4d · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Musiq: Multi-scale image quality transformer

Reference 29

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raw_fallback, observed 2026-08-06T13:46:35.102267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6fe03429-47f1-49d4-a274-c94f6253ecad · outbound

This paper cites Classsr: A general framework to accelerate super- resolution networks by data characteristic.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Classsr: A general framework to accelerate super- resolution networks by data characteristic

Reference 30

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raw_fallback, observed 2026-08-06T13:46:34.917531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:22.481466Z digest=sha256:c49ab534f711f477cee6a0efd47986ce53b9d89d4fb31af855478450456c7c54

Observation 066bad43-8a5c-4ac0-9994-4b9a1356beee · outbound

This paper cites Reflash dropout in image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Reflash dropout in image super-resolution

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T13:46:34.729970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a899b316-f5ee-484f-9007-d56d356dcd1f · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 32

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raw_fallback, observed 2026-08-06T13:46:34.486441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 23fe97c0-4033-4be0-9e0f-3d16744470dc · outbound

This paper cites an unresolved cited work.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Unresolved cited work

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c38f10d3-b4f1-418b-9f50-ae8eaacf9139 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c4e3669f-3d3a-45c6-b43f-e625df7fd168 · outbound

This paper cites Multi-scale residual network for image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Multi-scale residual network for image super-resolution

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:34.329760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:23.060493Z digest=sha256:109580741bc3eff284025907eeab4822a00bb7e90d634f65e998faf8fab01f65

Observation 3514b60d-690f-42f7-9900-45c10eb6daa7 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Lsdir: A large scale dataset for image restoration

Reference 36

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unresolved
no resolver link, observed 2026-08-06T13:46:23.213943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:23.213943Z digest=sha256:ad33d70acbc9fbd750972943f91f1665d1d1684a561b56c0daf033958b75c95e

Observation 30baade4-a6d5-4ee5-8b79-5af78c922e02 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Swinir: Image restoration us- ing swin transformer

Reference 37

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source=pdf_text observed=2026-08-06T13:46:23.329837Z digest=sha256:09da616ccc3bd4db5310b097773b6ed8b0470b8e75034ed018a81e7125147711

Observation 9f80ce80-7d78-49d3-8e3c-b6753186707f · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Details or artifacts: A locally discriminative learning approach to realistic im- age super-resolution

Reference 38

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raw_fallback, observed 2026-08-06T13:46:34.144739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:23.472363Z digest=sha256:5a0772069464a0e817eda0f067b7868e069cc9016dd13836d9e4babb145c1cb9

Observation ee86ffaa-cafd-42fd-9d9b-f9b5c2f9c1aa · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Efficient and degradation-adaptive network for real-world image super- resolution

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-06T13:46:33.930404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:23.590246Z digest=sha256:674a2acc743340e01c8e087f017ab0bbd70130e8c8b84cbd7d9572fc0464e1d7

Observation cef65277-069e-4aa6-8f9f-5a0175839d43 · outbound

This paper cites Ntire 2024 restore any im- age model (raim) in the wild challenge.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Ntire 2024 restore any im- age model (raim) in the wild challenge

Reference 40

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raw_fallback, observed 2026-08-06T13:46:33.714647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:23.709930Z digest=sha256:40ba5e880eb7cc035302a1582f7d73cc3efd5660b98b958c6c084a8310b1e756

Observation edf2e086-265f-40dc-aaa5-53f285f283d4 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Enhanced deep residual networks for single image super-resolution

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-06T13:46:33.534183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:23.863054Z digest=sha256:01dd2bb82e3f43a7e09d69a734af7b93bb064f80a91fc18c4407b7cdfa36cfcc

Observation d8d63999-9eb1-4a6e-93b2-f76f9bca39a7 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:23.953837Z digest=sha256:15c967695da609f03c0f32bc2747c9f744c8925e942dd5abafd2e9df69958beb

Observation d05dc0c2-cb66-4b86-a811-632cfb2447c1 · outbound

This paper cites Decoupled Weight Decay Regularization.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Decoupled Weight Decay Regularization

Reference 43

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no resolver link, observed 2026-08-06T13:46:24.019821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:24.019821Z digest=sha256:67a8243f950f8dea8626ed4be2265ba87e5b19b3e2bb445622ba57345ac8b845

Observation c23caf05-5a33-454f-9fc0-e0addf92285e · outbound

This paper cites A text atten- tion network for spatial deformation robust scene text im- age super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training A text atten- tion network for spatial deformation robust scene text im- age super-resolution

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:33.311153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.077704Z digest=sha256:e46a1ae275c2c9e39532c2bf6191e7f3f357437973c7f319ff266086fef43c65

Observation 42dfe09b-2aa0-4f79-8db8-8a9adf56a46a · outbound

This paper cites Text prior guided scene text image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Text prior guided scene text image super-resolution

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:33.122802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.143324Z digest=sha256:671f262278b29150e93574c01beb959189224337fef6d2133c43a7c04d4f611a

Observation 55dc2e16-e642-46ec-ad83-8867f4f62b19 · outbound

This paper cites A benchmark for chinese-english scene text im- age super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training A benchmark for chinese-english scene text im- age super-resolution

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:32.895677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.206964Z digest=sha256:772e62ae751eeae7f58937018e4fe51f0064c3fd9e96dade27f69ebd42da7b7f

Observation ab33d929-c4f2-4cbb-bb6e-18f3d2f9336b · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Codi: Conditional diffusion distillation for higher-fidelity and faster image generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:32.697268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.285753Z digest=sha256:857ebc85ad99270d55178d188b1cec4b454afaf4abeff9e8d80c704b15a2610e

Observation 80bbfac3-aab9-472c-b225-7071a14a2ad8 · outbound

This paper cites The power of context: How multimodality improves image super- resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training The power of context: How multimodality improves image super- resolution

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:32.508830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.368424Z digest=sha256:2f99540368faf924c56b4cc683a9d09acec979201d3a6c5d64d344a926feaf66

Observation 4f5e1ad8-d466-4465-bbd5-288a375ed9ba · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:24.442434Z digest=sha256:bfbb24fc43e5a99a9dfd019cab9bbd3a77d6969e9bd133c3c6383264a6e0bf8e

Observation 6bcdf67a-1348-4272-8faa-b9b3f1246f55 · outbound

This paper cites Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

Reference 50

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:24.506694Z digest=sha256:b788889996e3c39101ee84d7d5371f59eb77fc2d03892ec44f3e242f6b912db6

Observation 619987f9-6ab4-4f61-8887-1bbefd62c593 · outbound

This paper cites Towards Realistic Data Generation for Real-World Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Towards Realistic Data Generation for Real-World Super-Resolution

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:24.584117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:24.584117Z digest=sha256:70e99a4fde71e1a0947844fe5fe02fb3ca2e3560957f7663c62c7d963d54e57e

Observation 400425b8-33fd-49e3-b06d-bf522a860605 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Xpsr: Cross-modal priors for diffusion-based image super-resolution

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:32.257901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.621801Z digest=sha256:fd504f8d5335f6da625d63fe2a2d3fee08854eea25501e3dc1a67c047d548d74

Observation 16b0f013-21cb-4735-8622-6121da779cf7 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training High-resolution image synthesis with latent diffusion models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:32.066989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.699870Z digest=sha256:af041a0a7192afebe836daa0e74d850498a080293af1401dec9f7368ee50cbef

Observation af3b9fdb-d7cf-4183-bc29-be9d0add93e3 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Photorealistic text-to-image diffusion models with deep language understanding

Reference 54

Resolution
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no resolver link, observed 2026-08-06T13:46:24.801599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:24.801599Z digest=sha256:28698bbf0af38a49a290b8c20e52a2eb4a8c8b2b02b06d725eaaf9c709afa313

Observation d3c0a469-22b8-4b55-ab20-7ab23b723a16 · outbound

This paper cites Dcdm: Diffusion-conditioned-diffusion model for scene text image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Dcdm: Diffusion-conditioned-diffusion model for scene text image super-resolution

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:31.838317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.885446Z digest=sha256:8b6d63fd5ca54b9f1a13bf89b67e843dd3fbd3696163dbb7563c35d7df4a7509

Observation b3088a5f-56cc-4ff6-9ee7-8cf731c5a38b · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Score-Based Generative Modeling through Stochastic Differential Equations

Reference 56

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no resolver link, observed 2026-08-06T13:46:24.939698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:24.939698Z digest=sha256:3ea945deeb7b6f6f26ae7a36582b125feccf31dca70717ff802fad0244cdf7a1

Observation a7219c84-77d9-4711-b579-772bdea09d90 · outbound

This paper cites an unresolved cited work.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Unresolved cited work

Reference 57

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:24.975959Z digest=sha256:67ec8f4d9df996d487508ff3f2cc53716d9478087fed3a4c3ff0283be7940755

Observation 8bb9dc8f-b2a6-461e-a131-cbafaa27e666 · outbound

This paper cites Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network

Reference 58

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no resolver link, observed 2026-08-06T13:46:25.064379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.064379Z digest=sha256:70b751292067db7964fb7aa7788899d53d4cebabd5b16ad3c36d4d1ad20dbeba

Observation ba122be0-3c0d-4a51-a68e-87f26200aee4 · outbound

This paper cites Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution

Reference 59

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no resolver link, observed 2026-08-06T13:46:25.124512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.124512Z digest=sha256:a5f438427cc5027b02f5c04a4ff5adbdf401a8950cf07a011761f081040fd3c6

Observation bc8b02af-3e06-486e-b165-0f90eb9122b0 · outbound

This paper cites Perception-distortion balanced super- resolution: A multi-objective optimization perspective.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Perception-distortion balanced super- resolution: A multi-objective optimization perspective

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:31.419278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:25.215923Z digest=sha256:cfa457a71d93031fda2a23d4336629179974cce8d2e46c78aaa0ae9ed35bea40

Observation a7fcde04-364d-452e-8d40-fc8dc41fe7ec · outbound

This paper cites Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach

Reference 61

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.275356Z digest=sha256:39f3eb32a55cfdf1fdce472bdcd068b3b3d84f790441945bfef5d1cf94f5b989

Observation f28a3c46-4698-498c-aeff-64955d55f45e · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Ex- ploring clip for assessing the look and feel of images

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:31.119997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:25.334258Z digest=sha256:5f25e497baeac70437a65f34919e2c3210f4a893bf47bcec91ee4c47acef05c2

Observation 03f88d22-a571-4fd1-a94a-9c3280977a77 · outbound

This paper cites Exploiting Diffusion Prior for Real-World Image Super-Resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Exploiting Diffusion Prior for Real-World Image Super-Resolution

Reference 63

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no resolver link, observed 2026-08-06T13:46:25.404752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.404752Z digest=sha256:c59e879e12f682e1a9ad132a17fe08f72efc5ce7120fa4430a78429482d0e5a0

Observation c78c7f19-3286-404b-83d4-b0b23362dba2 · outbound

This paper cites Scene text image super-resolution in the wild.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Scene text image super-resolution in the wild

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:30.914864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:25.456106Z digest=sha256:8b9ba8de44332706980f41d3e0f741216566193e05ec6da6ba75ee4180896417

Observation 75665038-cd4c-4ac9-98f0-58b38f2c27f0 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Esrgan: En- hanced super-resolution generative adversarial networks

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:30.578922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:25.527917Z digest=sha256:4fcf32832b8bf30f8d9afaa68966ab853f8742b15c663fff30267429bcf5bb60

Observation 03ce8b27-5ba2-4a47-ba75-8e7ad3d99fd0 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 66

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no resolver link, observed 2026-08-06T13:46:25.624200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.624200Z digest=sha256:414cf3f0ecd6783496803f83bf0f2b3e8d6b4e06481243164bd2508f494570a5

Observation edbab378-5baf-4865-8e89-b7ba22a869b3 · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.671536Z digest=sha256:37f6e0e5ca3403a3b05d4b6c42e5ec5aef473379a6ca9063cbc335778f90f7aa

Observation 0344c3bf-6c25-4d3b-ba1f-b10f95751f8c · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Image quality assessment: from error visibility to structural similarity

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:30.286354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:25.764610Z digest=sha256:cc250f6bfc63c197ed06d0e824b101ee618bcdb5f9dedd1576afd3afce377288

Observation c2b7ad72-760b-4de0-8065-14fccdf4d89c · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Image quality assessment: from error visibility to structural similarity

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:30.032449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:25.809030Z digest=sha256:98514a60cac3d1566217971768df7fdfffc3c96fdc653a16ca78b3bb85d3dd65

Observation cddad6d7-2811-479b-8e9c-534b2f4edf55 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion

Reference 70

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.885960Z digest=sha256:a1dabf55ee16e7a8e7acd1a5d21b8036255c77144962ba6721a8d60e65297562

Observation 26af4618-9c36-4c86-9150-d712a48f3bfa · outbound

This paper cites Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models

Reference 71

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unresolved
no resolver link, observed 2026-08-06T13:46:25.947963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:25.947963Z digest=sha256:4299975811876a1211d4cad113b9cee8d05ca24f7bf5d7e0d7b2782c8408b6ed

Observation 62d47e33-d648-41e6-b2d0-c7895336b5f9 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Component divide- and-conquer for real-world image super-resolution

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:29.805650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:26.045267Z digest=sha256:8371f74c9c3e5faa662621c6a0774b63b11d749e16928e6525017e0929947732

Observation 9778550e-2c61-472d-8aaa-de0011f71b01 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.098903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.098903Z digest=sha256:f18f6055dd958ab2bbe30745e28cd4fd488fdee87e77c70935df25172c3b9678

Observation 19910bac-366a-4763-8624-5b4d3010dc12 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.183220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.183220Z digest=sha256:ba064a5f6fd801a2d7b2bf5bb2cbe638fdcf97f4158af033459cdb1a5509bb71

Observation 0f649fe1-610f-489b-a917-f219523d0f6e · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training One-Step Effective Diffusion Network for Real-World Image Super-Resolution

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.249982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.249982Z digest=sha256:f0e1d18feb8c6ca26c278afa0ca378f05ef9b137404e6d045033f61fb3f5fbb8

Observation 9a96761d-fae8-4c69-90a1-27da90537b56 · outbound

This paper cites InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.341031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.341031Z digest=sha256:ce81350e03975b14eca9f04376ecd387e74dbd6579a55aeb0b257d7df56c036a

Observation 97d1f445-468d-4741-b54f-20dd21907288 · outbound

This paper cites DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.424256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.424256Z digest=sha256:4c4a811bed52081b3b2ea4c9a836dad0cb82cc7075653ff5de033c4ea2e88d2b

Observation b5bab528-3cda-4676-b805-dacf68f424be · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Desra: Detect and delete the artifacts of gan-based real-world super-resolution models

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:29.607182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:26.509988Z digest=sha256:bff0c7fed7dde9cbe66487fbc38a2b561f329e840eb9628133915a4d7b324285

Observation db1a6856-51b1-43db-8221-6dc1b0b9230f · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.590209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.590209Z digest=sha256:b4f93bb9bcbffaf6931a891cca86dcb720a264d5b1a9c49fa9308ebea186675d

Observation b31e3716-4d08-45c1-967b-fbf674af1ee0 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training One-step diffusion with distribution matching distillation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:29.361960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:26.643669Z digest=sha256:8b30f5985450b81ac563b78ffb5301b544a41941f6abfe38606675d979462093

Observation a36d1bc6-2f62-4859-ab52-985b6e26a76a · outbound

This paper cites Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.723513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.723513Z digest=sha256:c4868d442094a34dc68ffc225bbae13932e736313e4e66537374ed10a7bfa158

Observation 464d4bc8-b114-4413-a527-e78cca84c5db · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.797618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.797618Z digest=sha256:f704887dcd8ab200d9e3c185e729f1b7e16c6399c878a94f87f6c7405a405b50

Observation 64fd84a0-c80d-465c-a972-bdfddbb76647 · outbound

This paper cites Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T13:46:26.868493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:26.868493Z digest=sha256:c69b6413a5cdf475b876d0ef8b0de512da1244e0ead85263811be2b144e6808a

Observation 85ff3107-db55-4bd1-8ae3-a9aa5b736537 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Designing a practical degradation model for deep blind image super-resolution

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:29.092988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:26.950311Z digest=sha256:24286df01ec8bf6cc23197e6da66f9337501bb971dde777b8ec6544371bee1d3

Observation c118d060-c27a-4cf7-8ea0-2b813369680c · outbound

This paper cites Fsim: A feature similarity index for image quality assess- ment.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Fsim: A feature similarity index for image quality assess- ment

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:28.777431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:27.015504Z digest=sha256:3c027f272b466a163f91afbc5164f1eb4625c19724fbb2844d5b78ee5a034d34

Observation fc1a9b3a-9a0e-49bf-bc7c-0ac7a81af475 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Adding conditional control to text-to-image diffusion models

Reference 86

Resolution
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no resolver link, observed 2026-08-06T13:46:27.097912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:27.097912Z digest=sha256:867a08285e0e99329ee7053c1dd41f71c91b7b37dfc014f704e7f2c0c7d4bed3

Observation 6a1e6438-b620-42c7-81c9-fef0c3589ab3 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training The unreasonable effectiveness of deep features as a perceptual metric

Reference 87

Resolution
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no resolver link, observed 2026-08-06T13:46:27.124985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:46:27.124985Z digest=sha256:6c04b7f613a3239e4faa7e8f5f790e2065788cb2776c3d88669943d2f5551ee8

Observation 037398a0-5e58-4a69-8f1b-94fb133a716f · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Efficient long-range attention network for image super- resolution

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:28.593728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:27.242728Z digest=sha256:f1178d65e913a9466c3d685912448ad3960257ed7abb6d3220ae13b15cd80e02

Observation 0a43ee52-06d2-472f-b0ac-69ae20c4f949 · outbound

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

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Image super-resolution using very deep residual channel attention networks

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:28.403055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:27.292773Z digest=sha256:92b26a8f694d3278c1084382b56412b19beefad9dbe26f2335934b2b5cf4b73f

Observation 1a45b0e4-2592-4dbe-8bf5-1a1822676327 · outbound

This paper cites Residual dense network for image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Residual dense network for image super-resolution

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:28.238113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:27.386134Z digest=sha256:ac5aeb360f3443b5b4ffa474f06c7f03a20c91ca7f3e81bdc47688016b8dd6fa

Observation f234d769-0733-492d-ab01-d1d46a2ac300 · outbound

This paper cites Diffusion-based blind text image super-resolution.

Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training Diffusion-based blind text image super-resolution

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:46:28.030652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T13:46:27.447917Z digest=sha256:7d7a91b434ecab6603123447a0d8cbb5ef989b6e137c7dddc7edb2788e175230

Pith citing papers

Observation 3f25f0af-b1a6-44e0-b468-6503f7d51d6c · inbound

VOSR: A Vision-Only Generative Model for Image Super-Resolution cites this paper.

VOSR: A Vision-Only Generative Model for Image Super-Resolution Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Training

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:33:14.564865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T20:33:09.233852Z digest=sha256:d7c6a55b378cab6a438f7f95e2f04716fda448c4b2d685e77b1ca615b22667d0