Paper Citation Record · LEDGER

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity

As of 20 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2411.16087.

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

pith.paper-citation-record.v1
2411.16087 v1

Coverage vector

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Reference resolution

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External citation measurements

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Outbound references

Observation 6574fe3a-f848-43f9-bac9-7e4dfba9ee8d · outbound

This paper cites Perceptual image quality assessment with trans- formers.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Perceptual image quality assessment with trans- formers

Reference 1

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Observation 2c9e5bee-aeff-424c-a258-58b72bccdf02 · outbound

This paper cites Growclip: Data-aware automatic model growing for large-scale contrastive language-image pre-training.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Growclip: Data-aware automatic model growing for large-scale contrastive language-image pre-training

Reference 2

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Observation 1e63e8de-0a1a-4f8c-baad-6e519c621588 · outbound

This paper cites Simoncelli.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Simoncelli

Reference 3

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Observation d4e386bd-d8ea-43b8-93c3-8babbff53a46 · outbound

This paper cites Cogview: Mastering text-to-image gen- eration via transformers.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Cogview: Mastering text-to-image gen- eration via transformers

Reference 4

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Observation f6bd2f68-4292-4fa5-959d-189ddbab2bf0 · outbound

This paper cites Pcqa: A strong baseline for aigc quality assessment based on prompt condition.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Pcqa: A strong baseline for aigc quality assessment based on prompt condition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:20.314077Z

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Observation 9f45af45-a7a8-498b-8f21-dd251df78614 · outbound

This paper cites Perceptual quality assessment of smartphone photog- raphy.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Perceptual quality assessment of smartphone photog- raphy

Reference 6

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Observation aace5697-34ff-4a76-a28a-aa1148fb3f00 · outbound

This paper cites Vision-language consistency guided multi-modal prompt learning for blind ai generated image quality assess- ment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Vision-language consistency guided multi-modal prompt learning for blind ai generated image quality assess- ment

Reference 7

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Observation 2144278a-0414-4861-a07d-dde4cd3e82f8 · outbound

This paper cites Univer- sal blind image quality assessment metrics via natural scene statistics and multiple kernel learning.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Univer- sal blind image quality assessment metrics via natural scene statistics and multiple kernel learning

Reference 8

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Observation 4813377f-e1f9-419a-b62e-ce4df95a7c7d · outbound

This paper cites Blind image quality assessment: A fuzzy neural network for opinion score distribution predic- tion.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Blind image quality assessment: A fuzzy neural network for opinion score distribution predic- tion

Reference 9

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Observation be319dac-5e88-4cb5-8900-f37b12c4b69f · outbound

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AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Unresolved cited work

Reference 10

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Observation ceaac798-7b4b-4e1b-b2cd-ab4358a9e7b5 · outbound

This paper cites Alireza Golestaneh, Saba Dadsetan, and Kris M.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Alireza Golestaneh, Saba Dadsetan, and Kris M

Reference 11

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Observation 6e12c40e-1e95-4ab5-acf5-5cfa99247cea · outbound

This paper cites Deep residual learning for image recognition.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Deep residual learning for image recognition

Reference 12

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This paper cites Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE TIP, 29:4041–4056,.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE TIP, 29:4041–4056,

Reference 13

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Observation af6e01a8-d809-4a13-863f-6c0fd37fcca8 · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 14

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Observation bf67162a-d6e0-4a0e-85e1-717c32d9f5b9 · outbound

This paper cites Convolu- tional neural networks for no-reference image quality assess- ment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Convolu- tional neural networks for no-reference image quality assess- ment

Reference 15

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Observation c05023ab-43bf-432a-8389-7d77683ff5eb · outbound

This paper cites Pick-a-pic: an open dataset of user preferences for text-to-image generation.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Pick-a-pic: an open dataset of user preferences for text-to-image generation

Reference 16

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Observation 3a7ca772-b180-4de1-bca9-55eeb21de541 · outbound

This paper cites Multi-concept customiza- tion of text-to-image diffusion.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Multi-concept customiza- tion of text-to-image diffusion

Reference 17

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Observation 86e1c78c-f4c2-431e-a658-90b3362f2f22 · outbound

This paper cites Most apparent distortion: full-reference image quality assessment and the role of strategy.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Most apparent distortion: full-reference image quality assessment and the role of strategy

Reference 18

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Observation e91233a2-c87f-4213-a236-417c9cd3d4a6 · outbound

This paper cites Agiqa-3k: An open database for ai-generated image quality assessment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Agiqa-3k: An open database for ai-generated image quality assessment

Reference 19

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Observation 7eb6d91d-7c6b-465e-87ce-a3d6a8de5b46 · outbound

This paper cites Grounded language-image pre-training.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Grounded language-image pre-training

Reference 20

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This paper cites Kadid-10k: A large-scale artificially distorted iqa database.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Kadid-10k: A large-scale artificially distorted iqa database

Reference 21

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Observation 3671ac25-e176-4887-99f2-ecb47c80698d · outbound

This paper cites Hallucinated-iqa: No- reference image quality assessment via adversarial learning.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Hallucinated-iqa: No- reference image quality assessment via adversarial learning

Reference 22

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AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Bagdanov

Reference 23

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This paper cites Segclip: Patch aggregation with learnable centers for open-vocabulary semantic segmentation.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Segclip: Patch aggregation with learnable centers for open-vocabulary semantic segmentation

Reference 24

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Observation 7f64ec2c-051a-43bb-90dd-4d745591d9d3 · outbound

This paper cites No-reference image quality assessment in the spa- tial domain.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity No-reference image quality assessment in the spa- tial domain

Reference 25

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Observation dea9f0fa-19da-4c6e-81e8-87b12cceb176 · outbound

This paper cites Blind im- age quality assessment: From natural scene statistics to per- ceptual quality.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Blind im- age quality assessment: From natural scene statistics to per- ceptual quality

Reference 26

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This paper cites Dacnn: Blind image quality assessment via a distortion-aware convolutional neu- ral network.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Dacnn: Blind image quality assessment via a distortion-aware convolutional neu- ral network

Reference 27

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Observation 8cd98a64-ec49-46ab-81bb-cdbb7c4bc937 · outbound

This paper cites Aigc im- age quality assessment via image-prompt correspondence.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Aigc im- age quality assessment via image-prompt correspondence

Reference 28

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Observation 551f7584-9d4f-4be2-964f-bc73fad1e35c · outbound

This paper cites Color im- age database tid2013: Peculiarities and preliminary results.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Color im- age database tid2013: Peculiarities and preliminary results

Reference 29

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Observation 81ff29bf-463a-4278-8d2f-1af1f8c21b04 · outbound

This paper cites Bringing textual prompt to ai-generated image quality assessment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Bringing textual prompt to ai-generated image quality assessment

Reference 30

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Observation f622b033-c7c6-4fe7-8017-9c46d9ac9751 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Learning transferable visual models from natural language supervi- sion

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AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Zero-shot text-to-image generation

Reference 32

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This paper cites Saad, Alan C.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Saad, Alan C

Reference 33

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This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 35

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This paper cites Blind image qual- ity assessment via transformer predicted error map and per- ceptual quality token.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Blind image qual- ity assessment via transformer predicted error map and per- ceptual quality token

Reference 37

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This paper cites Blind image quality assessment based on geometric order learning.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Blind image quality assessment based on geometric order learning

Reference 38

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This paper cites Flava: A foundational language and vision alignment model.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Flava: A foundational language and vision alignment model

Reference 39

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Observation 778129b0-4b42-4893-80a0-9ea2ef5a291f · outbound

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

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Blindly assess image qual- ity in the wild guided by a self-adaptive hyper network

Reference 40

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Observation 175fac50-3dbc-4b9d-bda8-d7a86297a1ca · outbound

This paper cites Blind quality assessment for in-the-wild images via hierarchical feature fusion strategy.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Blind quality assessment for in-the-wild images via hierarchical feature fusion strategy

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:19.060147Z

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This paper cites Mstriq: No reference image qual- ity assessment based on swin transformer with multi-stage fusion.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Mstriq: No reference image qual- ity assessment based on swin transformer with multi-stage fusion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:19.032663Z

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This paper cites Chan, and Chen Change Loy.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Chan, and Chen Change Loy

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:19.012854Z

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Observation 9e9ead6f-bfa6-493d-8291-70b333daa87f · outbound

This paper cites Aigciqa2023: A large-scale image quality assessment database for ai generated images: From the perspectives of quality, authenticity and correspondence.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Aigciqa2023: A large-scale image quality assessment database for ai generated images: From the perspectives of quality, authenticity and correspondence

Reference 44

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Observation 8ea32e9e-7de8-4010-a9e6-280c6c4ee5be · outbound

This paper cites A multi-dimensional aesthetic quality assessment model for mobile game images.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity A multi-dimensional aesthetic quality assessment model for mobile game images

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.966444Z

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This paper cites Active fine-tuning from gmad examples improves blind image quality assessment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Active fine-tuning from gmad examples improves blind image quality assessment

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.948016Z

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Observation c7099cf2-1a77-4ada-b9ac-f653a7d7e411 · outbound

This paper cites Q-bench: A benchmark for general-purpose foundation models on low-level vision.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Q-bench: A benchmark for general-purpose foundation models on low-level vision

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.929363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0bbc6267-d8a6-459d-80fc-1dab69017f96 · outbound

This paper cites Q-instruct: Improving low-level visual abili- ties for multi-modality foundation models.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Q-instruct: Improving low-level visual abili- ties for multi-modality foundation models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.910491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9fa559eb-820c-4828-bd61-5002217e3d79 · outbound

This paper cites Ngan, Bing Luo, Chao Huang, and Bing Zeng.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Ngan, Bing Luo, Chao Huang, and Bing Zeng

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.888669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18990414-d808-4f1a-bd27-3e01ec48a15f · outbound

This paper cites Ngan, and Kede Ma.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Ngan, and Kede Ma

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.866003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e528239a-da25-4538-872b-e98e4f68babe · outbound

This paper cites Human preference score: Better aligning text-to- image models with human preference.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Human preference score: Better aligning text-to- image models with human preference

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.839129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79ec4d64-ff41-4cf0-8279-858a91f1879c · outbound

This paper cites Groupvit: Semantic segmentation emerges from text supervision.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Groupvit: Semantic segmentation emerges from text supervision

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.813018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ca9ef18-580c-4f28-810c-a46246777736 · outbound

This paper cites Imagereward: learning and evaluating human preferences for text-to-image generation.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Imagereward: learning and evaluating human preferences for text-to-image generation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.792347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 900f47f0-9c23-4ef6-af5e-5fd61466fcb1 · outbound

This paper cites Boosting image quality 10 assessment through efficient transformer adaptation with lo- cal feature enhancement.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Boosting image quality 10 assessment through efficient transformer adaptation with lo- cal feature enhancement

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.773953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 981c237c-7963-4b9f-a6ae-615ad0576202 · outbound

This paper cites Attngan: Fine- grained text to image generation with attentional generative adversarial networks.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Attngan: Fine- grained text to image generation with attentional generative adversarial networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.752325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2451fda-9357-4d52-8329-83ea9e5f94c7 · outbound

This paper cites Moe-agiqa: Mixture-of-experts boosted vi- sual perception-driven and semantic-aware quality assess- ment for ai-generated images.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Moe-agiqa: Mixture-of-experts boosted vi- sual perception-driven and semantic-aware quality assess- ment for ai-generated images

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.729968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5bdcd4b-9388-4ccd-afc7-dd7a38786342 · outbound

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

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.706885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60606006-550f-4222-99c9-e80ec3ccd4cf · outbound

This paper cites Filip: Fine-grained interactive language-image pre-training.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Filip: Fine-grained interactive language-image pre-training

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.685116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fc65cb8-4a82-49f6-a946-5f134b081fb3 · outbound

This paper cites Learning to assess image quality like an ob- server.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Learning to assess image quality like an ob- server

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.666430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1855b61b-2725-4a55-bdd4-5c5d40ca2581 · outbound

This paper cites an unresolved cited work.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:39:18.645099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9edcf1f-5ba7-47bf-9385-7ef4232a03c9 · outbound

This paper cites Transformer for image quality assessment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Transformer for image quality assessment

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.622209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 795cff45-cca3-4a5a-89e4-4a6a67b081cf · outbound

This paper cites Sf-iqa: Quality and similarity integration for ai generated im- age quality assessment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Sf-iqa: Quality and similarity integration for ai generated im- age quality assessment

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.593202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e20ba899-f2d8-4c25-8ad4-e28225456343 · outbound

This paper cites Stack- gan: Text to photorealistic image synthesis with stacked gen- erative adversarial networks.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Stack- gan: Text to photorealistic image synthesis with stacked gen- erative adversarial networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.567914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 208c16ca-c91d-486a-b10e-740d67ab67e9 · outbound

This paper cites Vision-language models for vision tasks: A survey.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Vision-language models for vision tasks: A survey

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.541657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d650463-0840-4e3f-b21f-bf751af6f64b · outbound

This paper cites an unresolved cited work.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:39:18.516694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f819ca0-fa43-4ce2-925f-80130806646f · outbound

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

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Adding conditional control to text-to-image diffusion models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.488507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c69959ae-c301-4f91-8399-ac3932eb37dd · outbound

This paper cites Blind image quality assessment using a deep bilinear convolutional neural network.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Blind image quality assessment using a deep bilinear convolutional neural network

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.466569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 723d8dc7-9c64-47de-8c9a-405ec9307388 · outbound

This paper cites Continual learning for blind image quality assessment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Continual learning for blind image quality assessment

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.431849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83bb1dfe-a958-4e5c-9504-678a92420584 · outbound

This paper cites Blind image quality assessment via vision- language correspondence: A multitask learning perspective.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Blind image quality assessment via vision- language correspondence: A multitask learning perspective

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.402986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3afe24ce-78eb-451b-8472-5452e154e335 · outbound

This paper cites A perceptual quality assessment exploration for aigc images.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity A perceptual quality assessment exploration for aigc images

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.377090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a55c6aca-7cfb-4d2e-ad74-2c5f64bf86bd · outbound

This paper cites Regionclip: Region-based language-image pretraining.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Regionclip: Region-based language-image pretraining

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.343986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10d53328-4649-4d69-8c59-c116b93eba02 · outbound

This paper cites Saliency-guided transformer net- work combined with local embedding for no-reference im- age quality assessment.

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity Saliency-guided transformer net- work combined with local embedding for no-reference im- age quality assessment

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:39:18.301290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 09c04f81-9e6e-41c0-af8d-fc4876711bcc · inbound

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment cites this paper.

Text-Visual Semantic Constrained AI-Generated Image Quality Assessment AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:25.933208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c472d62a-19cb-4994-87b5-0f50b5ea8ed3 · inbound

Patch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment cites this paper.

Patch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-11T05:07:48.382126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.