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Paper Citation Record · LEDGER

The Darkside-20k Data Acquisition System

As of 23 July 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2604.03059.

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

pith.paper-citation-record.v1
2604.03059 v3

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measured 52 of 52 reference resolution

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measured 0 of 0 inbound itemization

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52 of 52 outbound references displayed

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Outbound references

Observation c5bc13c5-e620-4cdc-9eb1-51b4f18e8aaf · outbound

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

The Darkside-20k Data Acquisition System High-resolution image syn- thesis with latent diffusion models

Reference 1

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Observation e582175c-ce95-4aa3-bb74-87aa3a9880c8 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.NeurIPS, 35:36479–36494, 2022.

The Darkside-20k Data Acquisition System Photorealistic text-to-image diffusion models with deep language understanding.NeurIPS, 35:36479–36494, 2022

Reference 2

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Observation 1fe2affc-cc4f-424e-ad4f-f386feb2cd5e · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

The Darkside-20k Data Acquisition System In- structpix2pix: Learning to follow image editing instructions

Reference 3

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Observation e1a67344-b0e5-4bfb-80a2-7e4a63034f6b · outbound

This paper cites Grok imagine image.https : / / docs.

The Darkside-20k Data Acquisition System Grok imagine image.https : / / docs

Reference 4

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Observation b3a9fe9a-0047-46f2-90f0-d9b4a4a9f4e9 · outbound

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The Darkside-20k Data Acquisition System Unresolved cited work

Reference 5

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Observation e7afabf1-80c4-4501-acad-57e55e35a6ee · outbound

This paper cites HunyuanImage 3.0 Technical Report.

The Darkside-20k Data Acquisition System HunyuanImage 3.0 Technical Report

Reference 6

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Observation 574de771-9345-4556-8e6c-91a4aafa3302 · outbound

This paper cites Seedream 4.0: Toward Next-generation Multimodal Image Generation.

The Darkside-20k Data Acquisition System Seedream 4.0: Toward Next-generation Multimodal Image Generation

Reference 7

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Observation 21ced8b5-bbb4-401e-a788-a65a9180c05e · outbound

This paper cites Improving image generation with better captions.Computer Science, 2(3):8, 2023.

The Darkside-20k Data Acquisition System Improving image generation with better captions.Computer Science, 2(3):8, 2023

Reference 8

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Observation 0cdfb8db-de5b-47d4-881a-e666418971cc · outbound

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

The Darkside-20k Data Acquisition System SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 9

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Observation d8a20069-8243-4bd9-9271-b6769cb11e78 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.TIP, 26(7):3142–3155, 2017.

The Darkside-20k Data Acquisition System Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.TIP, 26(7):3142–3155, 2017

Reference 10

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Observation a1257ce9-db2b-4f76-b565-2d9c9f9daf52 · outbound

This paper cites Deblurgan: Blind motion deblurring using conditional adversarial networks.

The Darkside-20k Data Acquisition System Deblurgan: Blind motion deblurring using conditional adversarial networks

Reference 11

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Observation ea8231c9-2cc7-43d9-b182-31ae49a383d4 · outbound

This paper cites Image super-resolution using deep convolutional net- works.PAMI, 38(2):295–307, 2015.

The Darkside-20k Data Acquisition System Image super-resolution using deep convolutional net- works.PAMI, 38(2):295–307, 2015

Reference 12

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Observation 31672191-470c-4014-9c18-7b034faa86c9 · outbound

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

The Darkside-20k Data Acquisition System Esrgan: En- hanced super-resolution generative adversarial networks

Reference 13

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Observation f36ec880-e306-411b-8e73-cc06507d37b6 · outbound

This paper cites Compression artifacts reduction by a deep convolu- tional network.

The Darkside-20k Data Acquisition System Compression artifacts reduction by a deep convolu- tional network

Reference 14

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Observation e0125ae2-6ec0-4deb-9b5d-7904c20ccc3b · outbound

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

The Darkside-20k Data Acquisition System Sinsr: diffusion-based image super- resolution in a single step

Reference 15

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Observation 0ec5ffd7-fca3-4589-a6e9-1f718e19d076 · outbound

This paper cites Generative dif- fusion prior for unified image restoration and enhancement.

The Darkside-20k Data Acquisition System Generative dif- fusion prior for unified image restoration and enhancement

Reference 16

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Observation d7a2a4a6-9839-4e38-a174-f325740b61e7 · outbound

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

The Darkside-20k Data Acquisition System Exploiting diffusion prior for real-world image super-resolution.IJCV, 132(12):5929– 5949, 2024

Reference 17

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Observation 657abf01-5ef2-46fa-9ff4-d830cbda6f8e · outbound

This paper cites Unires: Universal im- age restoration for complex degradations.

The Darkside-20k Data Acquisition System Unires: Universal im- age restoration for complex degradations

Reference 18

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Observation 115b2234-3044-46c0-b475-0ca169d39f56 · outbound

This paper cites Diffusion models in low-level vision: A survey.PAMI, 2025.

The Darkside-20k Data Acquisition System Diffusion models in low-level vision: A survey.PAMI, 2025

Reference 19

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Observation fb331261-d95c-412b-b911-84edd534323d · outbound

This paper cites A survey on all-in-one image restoration: Tax- onomy, evaluation and future trends.PAMI, 2025.

The Darkside-20k Data Acquisition System A survey on all-in-one image restoration: Tax- onomy, evaluation and future trends.PAMI, 2025

Reference 20

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Observation 11a24266-2079-406a-9179-d877aabd7bca · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.NeurIPS, 32, 2019.

The Darkside-20k Data Acquisition System Generative modeling by esti- mating gradients of the data distribution.NeurIPS, 32, 2019

Reference 21

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Observation 947b2b1b-4b3b-4f87-9ead-d8fc813f166e · outbound

This paper cites Denoising Diffusion Implicit Models.

The Darkside-20k Data Acquisition System Denoising Diffusion Implicit Models

Reference 22

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Observation ed2fda6b-b9ad-4eb2-8d2f-a1d2d1eb699c · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

The Darkside-20k Data Acquisition System Gemini: A Family of Highly Capable Multimodal Models

Reference 23

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Observation 90425a48-3256-4023-9316-f62be6b22c14 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

The Darkside-20k Data Acquisition System FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 24

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Observation 8b77b497-933e-4086-9e0d-f277a852add0 · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

The Darkside-20k Data Acquisition System Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 25

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Observation b0b2118b-41da-401d-a67b-422bf589c244 · outbound

This paper cites Qwen-Image Technical Report.

The Darkside-20k Data Acquisition System Qwen-Image Technical Report

Reference 26

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Observation 471955e4-da8e-4147-9b11-61f83ec5ff13 · outbound

This paper cites The perception-distortion tradeoff.

The Darkside-20k Data Acquisition System The perception-distortion tradeoff

Reference 27

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Observation 094de9d1-e613-44bf-97e4-460ddd26477d · outbound

This paper cites How far have we gone in Generative Image Restoration? A study on its capability, limitations and evaluation practices.

The Darkside-20k Data Acquisition System How far have we gone in Generative Image Restoration? A study on its capability, limitations and evaluation practices

Reference 28

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Observation 16f34d86-245a-4e8e-8b21-d254ddde4926 · outbound

This paper cites Is nano banana pro a low-level vision all-rounder? a comprehensive evaluation on 14 tasks and 40 datasets.arXiv preprint arXiv:2512.15110,.

The Darkside-20k Data Acquisition System Is nano banana pro a low-level vision all-rounder? a comprehensive evaluation on 14 tasks and 40 datasets.arXiv preprint arXiv:2512.15110,

Reference 29

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Observation 2483257b-886a-4cd3-a7e2-33768e882172 · outbound

This paper cites Pipal: a large-scale image quality assessment dataset for perceptual image restoration.

The Darkside-20k Data Acquisition System Pipal: a large-scale image quality assessment dataset for perceptual image restoration

Reference 30

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Observation 069eaebf-4c61-4981-9cde-5167caca8198 · outbound

This paper cites Accurate Image Restoration with Attention Retractable Transformer.

The Darkside-20k Data Acquisition System Accurate Image Restoration with Attention Retractable Transformer

Reference 31

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Observation be326102-d3a0-4f5d-9bf7-8c4111e65f9f · outbound

This paper cites Image denoising by sparse 3-d transform- domain collaborative filtering.TIP, 16(8):2080–2095, 2007.

The Darkside-20k Data Acquisition System Image denoising by sparse 3-d transform- domain collaborative filtering.TIP, 16(8):2080–2095, 2007

Reference 32

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Observation d7d48299-3f1a-4aea-869d-227c6a78420a · outbound

This paper cites Bilateral filtering for gray and color images.

The Darkside-20k Data Acquisition System Bilateral filtering for gray and color images

Reference 33

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Observation cf5b27cd-03e9-4566-bb8f-c24128588706 · outbound

This paper cites Acceler- ating the super-resolution convolutional neural network.

The Darkside-20k Data Acquisition System Acceler- ating the super-resolution convolutional neural network

Reference 34

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Observation 273d5ebf-04f8-4af7-bf1b-f6435d6b6f56 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

The Darkside-20k Data Acquisition System Restormer: Efficient transformer for high-resolution image restoration

Reference 35

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Observation b614bb61-6d5f-4614-b51f-6abc834ec67e · outbound

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

The Darkside-20k Data Acquisition System Swinir: Image restoration us- ing swin transformer

Reference 36

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Observation 6305ecd2-085a-4705-8f20-84be04b8e50f · outbound

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

The Darkside-20k Data Acquisition System Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild

Reference 37

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Observation 3d54716e-7c42-4ac8-9c16-595fddd4e2fd · outbound

This paper cites UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models.

The Darkside-20k Data Acquisition System UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models

Reference 38

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:565f32071d9e2be067e512cac9167f61219746e089978af8d0521bf1c892b966

Observation 84d6f6dd-15af-4dd8-94e8-2efe400dc9d9 · outbound

This paper cites Ultraedit: Instruction-based fine-grained im- age editing at scale.NeurIPS, 37:3058–3093, 2024.

The Darkside-20k Data Acquisition System Ultraedit: Instruction-based fine-grained im- age editing at scale.NeurIPS, 37:3058–3093, 2024

Reference 39

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:c32431a1824b10fbc387121dac7c55fd6a084c1bfa8438e2e76bd963651fa415

Observation b185881c-e8f6-4d31-92f1-80f9d87cc51e · outbound

This paper cites Looks too good to be true: An information- theoretic analysis of hallucinations in generative restoration models.NeurIPS, 37:22596–22623, 2024.

The Darkside-20k Data Acquisition System Looks too good to be true: An information- theoretic analysis of hallucinations in generative restoration models.NeurIPS, 37:22596–22623, 2024

Reference 40

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:131f5fdc1d35ced461629d4e71e7f0ce021a5b085dba5a17b6af35c44b5a74c0

Observation 7f91aa74-f388-4cc9-a92f-53af53ae90dd · outbound

This paper cites Harnessing diffusion-yielded score priors for image restoration.TOG, 44(6):1–21, 2025.

The Darkside-20k Data Acquisition System Harnessing diffusion-yielded score priors for image restoration.TOG, 44(6):1–21, 2025

Reference 41

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:4ef9cfd10eb2720f0915e4053225e30cf2fb0b780e4c83c27d53d3d43f6bf127

Observation f41f5d92-4331-4153-b78d-6bee11db4edd · outbound

This paper cites Tsdsr: temporal–spatial domain de- noise super-resolution photon-efficient 3d reconstruction by deep learning.

The Darkside-20k Data Acquisition System Tsdsr: temporal–spatial domain de- noise super-resolution photon-efficient 3d reconstruction by deep learning

Reference 42

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:407a6f99111812755527976e3decff03de57a4280a955ecaa16dc5a2c9c807a7

Observation 6f49af3f-fe0e-4f1a-9085-27cc2caeba0e · outbound

This paper cites Pixel-level and semantic-level adjustable super-resolution: A dual-lora approach.

The Darkside-20k Data Acquisition System Pixel-level and semantic-level adjustable super-resolution: A dual-lora approach

Reference 43

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:8590d376530e1c7e426ad8957868c7c64032ee31d606ed8e9d1b34906820bb46

Observation e7199224-4df6-4571-99fc-b46112edef95 · outbound

This paper cites Diff- bir: Toward blind image restoration with generative diffusion prior.

The Darkside-20k Data Acquisition System Diff- bir: Toward blind image restoration with generative diffusion prior

Reference 44

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:78e68dd84a4dc52e0b317c39109e2daf7873b3cff6197d4c17ff66a0380e38d3

Observation 380fd8f5-8e26-4f19-b8fa-2119ab69c96e · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.TIP, 13(4):600–612, 2004.

The Darkside-20k Data Acquisition System Image quality assessment: from error visibility to structural similarity.TIP, 13(4):600–612, 2004

Reference 45

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:8e64609c9652eec8f6137ad36966197301dde5697ac7f2ec551f18cf968964fc

Observation f18e7ddf-507c-4fcf-a95e-d319024f0320 · outbound

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

The Darkside-20k Data Acquisition System The unreasonable effectiveness of deep features as a perceptual metric

Reference 46

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:a40d7dbf3d70f9c12e9c143d48d9810207440e351dc9807224f42e6dfd6f22ba

Observation a6fa4c13-8e1a-46c6-b11f-ab6412a0cc43 · outbound

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

The Darkside-20k Data Acquisition System Musiq: Multi-scale image quality transformer

Reference 47

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:eaa63f5d9b0bf80135478f43ce05c3b7270693c118171eefee6ec346e3bb5719

Observation d43fce46-25bd-44f9-8ff8-6bf99e0bbf12 · outbound

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

The Darkside-20k Data Acquisition System Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 48

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:047088f892805723500700a387830fe44e45d84aec250b7e0060d513b1fa8314

Observation 9e367412-942a-45f1-8308-21494a8ceb6e · outbound

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

The Darkside-20k Data Acquisition System Ex- ploring clip for assessing the look and feel of images

Reference 49

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:d3751cf829a06b86b21ec78dc725aefaccde5f02b1e9e9770f19a2fc3ca44d63

Observation af223fe4-0189-4de5-b1ef-2bcf97e39e73 · outbound

This paper cites The use of ranks to avoid the assumption of normality implicit in the analysis of variance.Journal of the american statistical association, 32(200):675–701, 1937.

The Darkside-20k Data Acquisition System The use of ranks to avoid the assumption of normality implicit in the analysis of variance.Journal of the american statistical association, 32(200):675–701, 1937

Reference 50

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:f17e062912384e0e8d36b9646bbf7efb404f85064f25cd7155a8b3ca306e7c8f

Observation b062af9b-9974-435f-9e5c-a917b85238cf · outbound

This paper cites Position: Eval- uation of visual processing should be human-centered, not metric-centered.arXiv preprint arXiv:2603.00643, 2026.

The Darkside-20k Data Acquisition System Position: Eval- uation of visual processing should be human-centered, not metric-centered.arXiv preprint arXiv:2603.00643, 2026

Reference 51

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:4acc92f6957da70e606d6a434dba23fc7422db6f6375a03df22cfe4143cd0fa9

Observation 91a1f61b-b99b-425f-b844-191a029cfe5c · outbound

This paper cites Towards a full-reference quality assessment for color images using di- rectional statistics.TIP, 24:3950–3965, 2015.

The Darkside-20k Data Acquisition System Towards a full-reference quality assessment for color images using di- rectional statistics.TIP, 24:3950–3965, 2015

Reference 52

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source=pdf_text observed=2026-07-15T11:41:34.003655Z digest=sha256:a0b2d51a470154a8da6b504ec02e0b8ded54e8924049b1faec11e471dbc20ead

Pith citing papers

No inbound Pith citation observations are available.