Paper Citation Record · LEDGER

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2506.04641.

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

pith.paper-citation-record.v1
2506.04641 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:41:25.112089Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:19:32.285046Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy37
unresolved9
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c82bddb-19cc-4d8b-9d04-810616d45092 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:31.438568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7007d6d1-4a9d-476b-aee7-8d6e9d7181a1 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Scene text telescope: Text-focused scene image super-resolution

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:31.135566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation edb38a01-1b6c-4b8f-91c9-c15bca74b130 · outbound

This paper cites Benchmarking chinese text recognition: Datasets, baselines, and an empirical study.arXiv preprint, 2021.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Benchmarking chinese text recognition: Datasets, baselines, and an empirical study.arXiv preprint, 2021

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:30.984173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4ee5a525-94d4-4c2d-b465-a60bcb7d701e · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Activating more pixels in image super-resolution transformer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:30.788037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0219691-e76f-4620-88a9-b1be33514a7e · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Learning a deep convolutional network for image super-resolution

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:30.575520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c6cf823c-b7da-4441-b482-e56888fe7c78 · outbound

This paper cites Boosting optical character recognition: A super-resolution approach.arXiv preprint, 2015.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Boosting optical character recognition: A super-resolution approach.arXiv preprint, 2015

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:30.413977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1af08da5-1c1a-4471-bd2a-837027a11fe9 · outbound

This paper cites Pp-ocr: A practical ultra lightweight ocr system.arXiv preprint, 2020.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Pp-ocr: A practical ultra lightweight ocr system.arXiv preprint, 2020

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:30.234715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 95914a3e-6031-4d5f-92dd-7cfa4da65430 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.Neural networks, 107:3–11, 2018.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.Neural networks, 107:3–11, 2018

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:21.947292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c917796-f0ac-4007-b089-af3ecc94bec7 · outbound

This paper cites Deep residual learning for image recognition.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Deep residual learning for image recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:21.988501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b2e7ed5-b7e4-45ee-92c9-7e2d70ab3bfe · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 30, 2017.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Gans trained by a two time-scale update rule converge to a local nash equilibrium.NeurIPS, 30, 2017

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:30.075063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cf193b6a-1d3d-487c-b3b0-498835b847f4 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, page 3, 2022.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Lora: Low-rank adaptation of large language models.ICLR, page 3, 2022

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:29.895803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 01c1734e-8f18-4a01-9ec7-3a012d80951e · outbound

This paper cites Learning generative structure prior for blind text image super-resolution.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Learning generative structure prior for blind text image super-resolution

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:29.716154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f5b57e8d-3efc-44f2-ac87-c0153490a4e0 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Lsdir: A large scale dataset for image restoration

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:29.508732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f3b75cf7-23f2-4f6b-93d6-78792c1034b0 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Details or artifacts: A locally discriminative learning approach to realistic image super-resolution

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:29.331983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f18c5de-75b2-4395-8ba4-a5c1363350a6 · outbound

This paper cites Focal loss for dense object detection.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Focal loss for dense object detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:22.444217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56cf9f6e-239b-4506-ac42-6ef368d2d95e · outbound

This paper cites Diffbir: Toward blind image restoration with generative diffusion prior.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Diffbir: Toward blind image restoration with generative diffusion prior

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:29.147103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dffd9aa6-3f59-459e-8e0f-7558d7ab82ec · outbound

This paper cites Structure-preserving image super-resolution.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Structure-preserving image super-resolution

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:28.974190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a563e917-6c91-496a-be02-5a7d90bb8257 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders A benchmark for chinese-english scene text image super-resolution

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:28.780552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d3f69aff-0e6d-4c16-86b9-a24a715c3cc9 · outbound

This paper cites A text attention network for spatial deformation robust scene text image super-resolution.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders A text attention network for spatial deformation robust scene text image super-resolution

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:28.578018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c11c14e2-81e4-4fa6-b0c6-b63738d56c88 · outbound

This paper cites Plugnet: Degradation aware scene text recognition supervised by a pluggable super-resolution unit.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Plugnet: Degradation aware scene text recognition supervised by a pluggable super-resolution unit

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:28.392793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0693769a-ee17-40ef-974c-cf140009172b · outbound

This paper cites Content-aware local gan for photo-realistic super-resolution.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Content-aware local gan for photo-realistic super-resolution

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:28.265030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0aef5856-8d3d-497a-aa9a-b4f6f87be5d4 · outbound

This paper cites Addison-Wesley Longman Publishing Co., Inc., 1987.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Addison-Wesley Longman Publishing Co., Inc., 1987

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:28.088877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60c865be-334e-4401-8bf5-a0bc6b984850 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders High- resolution image synthesis with latent diffusion models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:23.163703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aab920a-0ce5-4628-b534-16eed41eb62c · outbound

This paper cites Glu variants improve transformer.arXiv preprint, 2020.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Glu variants improve transformer.arXiv preprint, 2020

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:27.979719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19744af0-1f95-4666-8e7c-c50dcc36a0e0 · outbound

This paper cites What the daam: Interpreting stable diffusion using cross attention.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders What the daam: Interpreting stable diffusion using cross attention

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:27.838316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e016df3-dc31-4bd1-b770-54accda7d608 · outbound

This paper cites Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis.arXiv preprint, 2024.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis.arXiv preprint, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:23.463646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4699c7-73c4-44dd-8a33-5367bf85e0e9 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:23.532511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfacd85a-b804-4c2d-9d06-aa73efc4dbb3 · outbound

This paper cites Attention is all you need.NeurIPS, 30, 2017.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Attention is all you need.NeurIPS, 30, 2017

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:23.610699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae51ae5-e114-468a-b6fc-2b3777869b54 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.IJCV, 132(12):5929–5949, 2024.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Exploiting diffusion prior for real-world image super-resolution.IJCV, 132(12):5929–5949, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:27.655036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 12106fbe-c01b-4ae6-982d-0f6f9dfb3edb · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Scene text image super-resolution in the wild

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:27.487758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6f661e1c-19f5-48cd-9f89-b3ef1ad70bee · outbound

This paper cites Textsr: Content-aware text super-resolution guided by recognition.arXiv preprint, 2019.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Textsr: Content-aware text super-resolution guided by recognition.arXiv preprint, 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:27.317051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3bc3eb53-863d-4a03-81a6-5c87319d56a8 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:27.205598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e66b1675-a74a-4290-9df6-b50a7beef1c6 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Sinsr: diffusion-based image super-resolution in a single step

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:27.005948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3263881-8169-4ec0-ae32-90f4efa030ac · outbound

This paper cites One-step effective diffusion network for real-world image super-resolution.NeurIPS, 37:92529–92553, 2024.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders One-step effective diffusion network for real-world image super-resolution.NeurIPS, 37:92529–92553, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:26.905530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88ea004a-2dce-4241-9971-e38b428d0bc0 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Seesr: Towards semantics-aware real-world image super-resolution

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:26.722571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0c24767-3b31-4686-aba4-24bd29c47ae8 · outbound

This paper cites Group normalization.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Group normalization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:26.577556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5fde269b-e6c7-4d1e-811d-205c32f37121 · outbound

This paper cites Rethinking text segmentation: A novel dataset and a text-specific refinement approach.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Rethinking text segmentation: A novel dataset and a text-specific refinement approach

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:26.392603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation abaf2c1a-c4af-4039-9fae-c3f103e3aa89 · outbound

This paper cites Bts: a bi-lingual benchmark for text segmentation in the wild.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Bts: a bi-lingual benchmark for text segmentation in the wild

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:26.293198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4673928-22c4-4b3a-8bcd-30ea63d63bf5 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:26.095108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b6a36fb6-9eb4-4935-8b21-556c53ad363f · outbound

This paper cites Hi-sam: Marrying segment anything model for hierarchical text segmentation.TPAMI, 2024.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Hi-sam: Marrying segment anything model for hierarchical text segmentation.TPAMI, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:25.910713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49a12537-144c-42ce-a11b-02fbb676e9a3 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Scaling up to excellence: Practicing model scaling for photo-realistic image restoration in the wild

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:25.743979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec19a585-78ed-4eb3-a31e-acd6a104dfff · outbound

This paper cites Resshift: Efficient diffusion model for image super-resolution by residual shifting.NeurIPS, 36:13294–13307, 2023.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Resshift: Efficient diffusion model for image super-resolution by residual shifting.NeurIPS, 36:13294–13307, 2023

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:25.554495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1ada59b-74b2-468f-bf4c-9f4d8900af16 · outbound

This paper cites A normalized levenshtein distance metric.TPAMI, 29(6):1091–1095, 2007.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders A normalized levenshtein distance metric.TPAMI, 29(6):1091–1095, 2007

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:25.415999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 61968590-f75f-4f08-9ecb-6aa42b0fa92c · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Designing a practical degradation model for deep blind image super-resolution

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:24.955036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fa79897-e1cb-4a62-9559-3fa185edccdf · outbound

This paper cites The un- reasonable effectiveness of deep features as a perceptual metric.

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders The un- reasonable effectiveness of deep features as a perceptual metric

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:25.027805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54c033a5-3ace-4b70-a32f-77917933dc09 · outbound

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

Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Diffusion-based blind text image super-resolution

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:41:25.255125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation c00f79ab-8327-4421-93b3-bb8b8a4f2a82 · inbound

Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance cites this paper.

Restore Text First, Enhance Image Later: Two-Stage Scene Text Image Super-Resolution with Glyph Structure Guidance Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders

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