Paper Citation Record · LEDGER

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images

As of 20 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 2 inbound Pith citation observations for arXiv:2504.21308.

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

pith.paper-citation-record.v1
2504.21308 v1

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Reference resolution

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Outbound references

Observation b14003a3-129e-4e42-b683-0c67dfc3beed · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 1

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 2

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This paper cites Midjourney,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Midjourney,

Reference 3

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Imagereward: Learning and evaluating human preferences for text-to- image generation,

Reference 4

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This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 5

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Observation bb03a350-46ca-4083-9aa5-7eff16881dfa · outbound

This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image gen- eration,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Pick-a-pic: An open dataset of user preferences for text-to-image gen- eration,

Reference 6

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Agiqa-3k: An open database for ai-generated image quality assessment,

Reference 7

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Observation 5fdec14d-6fa0-47c5-b999-5e94a0d21be8 · outbound

This paper cites Rich human feedback for text-to-image generation,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Rich human feedback for text-to-image generation,

Reference 8

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Observation 7eef6513-8cb7-405f-b04a-3eb31ac8329a · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Aigciqa2023: A large-scale image quality assessment database for ai generated images: from the perspectives of quality, authenticity and correspondence,

Reference 9

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This paper cites Internvl2: Better than the best—expanding performance boundaries of open-source multimodal models with the progressive scaling strategy,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Internvl2: Better than the best—expanding performance boundaries of open-source multimodal models with the progressive scaling strategy,

Reference 10

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This paper cites Sapiens: Foundation for human vision models,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Sapiens: Foundation for human vision models,

Reference 11

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This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 12

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This paper cites InternLM2 Technical Report.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images InternLM2 Technical Report

Reference 13

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This paper cites Cosmicman: A text-to-image foundation model for humans,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Cosmicman: A text-to-image foundation model for humans,

Reference 14

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Observation 097c18b0-1d43-4124-98c3-243c246f4f0e · outbound

This paper cites Diffusion models beat gans on image synthesis,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Diffusion models beat gans on image synthesis,

Reference 15

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This paper cites Going the extra mile in face image quality assessment: A novel database and model,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Going the extra mile in face image quality assessment: A novel database and model,

Reference 16

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This paper cites Dsl- fiqa: Assessing facial image quality via dual-set degradation learning and landmark-guided transformer,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Dsl- fiqa: Assessing facial image quality via dual-set degradation learning and landmark-guided transformer,

Reference 17

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This paper cites Assessing face image quality: A large-scale database and a transformer method,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Assessing face image quality: A large-scale database and a transformer method,

Reference 18

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This paper cites F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration

Reference 19

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This paper cites An image quality assessment dataset for portraits,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images An image quality assessment dataset for portraits,

Reference 20

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Observation 2453df11-6352-4b4d-8c71-98aa299a5290 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 21

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Observation c30e547c-6c20-4ed3-b912-0c92dc77ba0c · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 22

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This paper cites Nvae: A deep hierarchical variational autoen- coder,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Nvae: A deep hierarchical variational autoen- coder,

Reference 23

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This paper cites Taming transformers for high- resolution image synthesis,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Taming transformers for high- resolution image synthesis,

Reference 24

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This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 25

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This paper cites Generating diverse high-fidelity images with vq-vae-2,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Generating diverse high-fidelity images with vq-vae-2,

Reference 26

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This paper cites Denoising Diffusion Implicit Models.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Denoising Diffusion Implicit Models

Reference 27

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Score-Based Generative Modeling through Stochastic Differential Equations

Reference 28

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This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 29

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AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Denoising diffusion probabilistic models,

Reference 30

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AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images High- resolution image synthesis with latent diffusion models,

Reference 31

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AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Scalable diffusion models with transformers,

Reference 32

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This paper cites All are worth words: A vit backbone for diffusion models,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images All are worth words: A vit backbone for diffusion models,

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This paper cites Text2human: Text-driven controllable human image generation,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Text2human: Text-driven controllable human image generation,

Reference 34

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Aigc image quality assessment via image-prompt correspondence,

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This paper cites Large multi-modality model assisted ai-generated image quality assessment,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Large multi-modality model assisted ai-generated image quality assessment,

Reference 36

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This paper cites Moe-agiqa: Mixture-of-experts boosted visual perception-driven and semantic-aware quality assessment for ai-generated images,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Moe-agiqa: Mixture-of-experts boosted visual perception-driven and semantic-aware quality assessment for ai-generated images,

Reference 37

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Kadid-10k: A large-scale artificially distorted iqa database,

Reference 38

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This paper cites Image database tid2013: Peculiarities, results and perspectives,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Image database tid2013: Peculiarities, results and perspectives,

Reference 39

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This paper cites Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment,

Reference 40

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This paper cites Perceptual quality as- sessment of smartphone photography,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Perceptual quality as- sessment of smartphone photography,

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This paper cites Perceptual quality assessment of face video compression: A benchmark and an effective method,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Perceptual quality assessment of face video compression: A benchmark and an effective method,

Reference 42

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This paper cites Making a “completely blind.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Making a “completely blind

Reference 43

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This paper cites Blind/referenceless image spatial quality evaluator,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Blind/referenceless image spatial quality evaluator,

Reference 44

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Maniqa: Multi-dimension attention network for no-reference image quality assessment,

Reference 45

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Musiq: Multi- scale image quality transformer,

Reference 46

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Observation 74d5b44b-1adb-4e7b-8fd8-1b7183d5b0ee · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Blindly assess image quality in the wild guided by a self-adaptive hyper network,

Reference 47

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Observation 18db0474-d452-4475-8e40-f9ecac81b456 · outbound

This paper cites Uncertainty-aware blind image quality assessment in the laboratory and wild,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Uncertainty-aware blind image quality assessment in the laboratory and wild,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.156421Z

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Observation 4d562dbd-cdb5-44cd-b56f-d1606d3be5b6 · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Blind image quality assessment using a deep bilinear convolutional neural network,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.142862Z

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

Observation 083ff70d-f25b-4f97-8ede-d41d3f117ab9 · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.183987Z

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Unavailable: canonical work link unavailable.

Observation d1e42ff5-7d7b-4119-b1e7-2a837c40772b · outbound

This paper cites Fvq: A large-scale dataset and a lmm-based method for face video quality assessment,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Fvq: A large-scale dataset and a lmm-based method for face video quality assessment,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.188282Z

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Observation 5c0d04b7-16f0-4b60-aaf4-f82cb599d9e4 · outbound

This paper cites LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.192219Z

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Observation 3f69b27f-bbb6-4a39-926f-a1b8cc9a3421 · outbound

This paper cites DeepFloyd IF: a novel state-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images DeepFloyd IF: a novel state-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.129570Z

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 20b19bc5-a83f-4045-ba77-ed8dcd0ea815 · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.200233Z

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Unavailable: canonical work link unavailable.

Observation 85633746-e022-4407-84f0-322c7af93eea · outbound

This paper cites Dreamlike.art: https://dreamlike.art,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Dreamlike.art: https://dreamlike.art,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.114812Z

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 b8523b63-9721-4d5c-b49d-eeb69eae30c0 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.208468Z

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Observation a138189c-b6fd-4268-b8d3-220e7a8ab7ab · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.100963Z

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

Observation 27634c0c-3f4e-48aa-b070-df007447af8f · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Scaling rectified flow transformers for high-resolution image synthesis,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.087797Z

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

Observation 901d6d4d-ddde-4cb3-9f61-e73558e9f81f · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.074946Z

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

Observation 52d1cfa6-4572-40eb-99b3-8c1bdc20cb48 · outbound

This paper cites Methodology for the subjective assessment of the quality of television pictures,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Methodology for the subjective assessment of the quality of television pictures,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.062414Z

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

Observation 49d4a100-c7b0-4b8b-a61e-f70675dcfae2 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.048750Z

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 230db8a8-ed74-47b4-a44d-63756403a852 · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Laion- 5b: An open large-scale dataset for training next generation image-text models,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.035088Z

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 18a54307-3c6f-4342-85f9-733294ebe7db · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Learning transferable visual models from natural language supervision,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.021044Z

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

Observation f64b47a3-7f64-41be-8888-1dc0d704758e · outbound

This paper cites Dual-Branch Network for Portrait Image Quality Assessment.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Dual-Branch Network for Portrait Image Quality Assessment

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.241801Z

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Unavailable: canonical work link unavailable.

Observation be0a4f6c-81db-43eb-b80a-b0fa658bbc22 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.245624Z

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Observation 5be5664a-1403-4a4e-b60d-e912e8814613 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.249456Z

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Unavailable: canonical work link unavailable.

Observation f54e98a3-a2dd-4c2e-aba3-a617df3ce087 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.355597Z

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Observation a50eb17f-bcb2-4058-8fc9-a460e72bb670 · outbound

This paper cites Llava- next: Improved reasoning, ocr, and world knowledge, january 2024,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Llava- next: Improved reasoning, ocr, and world knowledge, january 2024,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:39.007669Z

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

Observation 851720bc-2b90-461a-875d-a0d77e0c6ca9 · outbound

This paper cites Qwen2.5-VL Technical Report.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Qwen2.5-VL Technical Report

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.363770Z

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Observation bb75d758-b4fa-4db3-befa-c21a985afbbd · outbound

This paper cites No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.367850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e67951-3822-4c87-badc-4a365bf9b170 · outbound

This paper cites A no-reference image blur metric based on the cumulative probability of blur detection (cpbd),.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images A no-reference image blur metric based on the cumulative probability of blur detection (cpbd),

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:38.993784Z

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 38359cb1-b4c0-4730-b31c-676424407a4a · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:38.979864Z

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 9280fe20-e73b-44e6-8f89-c9e04c1cd9a8 · outbound

This paper cites Improved techniques for training gans,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Improved techniques for training gans,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:38.966062Z

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 79c1043c-be88-4a7e-ba05-e3318a9bfa57 · outbound

This paper cites Demystifying MMD GANs.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Demystifying MMD GANs

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T05:10:38.383588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e36533-51ac-47ea-8225-14ac11886c35 · outbound

This paper cites Blind image quality assessment using joint statistics of gradient magnitude and laplacian features,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Blind image quality assessment using joint statistics of gradient magnitude and laplacian features,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:38.950384Z

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 b098cc74-49af-4fe3-889d-bf8d105a18e4 · outbound

This paper cites Large-scale crowdsourced study for tone-mapped hdr pictures,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Large-scale crowdsourced study for tone-mapped hdr pictures,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:38.935819Z

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 a3f78781-f467-4597-9913-0a8337c89bf9 · outbound

This paper cites Convolutional neural networks for no-reference image quality assessment,.

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Convolutional neural networks for no-reference image quality assessment,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:38.921952Z

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 9aa07602-970c-4f2b-9650-8964d1957dc2 · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Exploring clip for assessing the look and feel of images,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:38.904012Z

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 367a219e-6d23-4f4a-be98-6bcdf11e1516 · outbound

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

AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images Vision-language consistency guided multi-modal prompt learning for blind ai generated image quality assessment,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:10:38.889056Z

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 c4bf723c-b1ec-4d81-a73a-ac9f423efd43 · inbound

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation cites this paper.

Efficient Face Image Quality Assessment via Self-training and Knowledge Distillation AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:07.699638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e990386a-88e5-4473-a36a-f3b40b76de45 · inbound

Engagement Prediction of Short Videos with Large Multimodal Models cites this paper.

Engagement Prediction of Short Videos with Large Multimodal Models AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:00:19.250342Z

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.