IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models | Paper Citation Record

Observation 862253b4-62c8-4cbd-9fd6-5301e0fe6adc · outbound

This paper cites Syn- thesizing cta image data for type-b aortic dissection using stable diffusion models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Syn- thesizing cta image data for type-b aortic dissection using stable diffusion models

Reference 1

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Observation d2d7f9c2-31dd-48ae-881a-478678888e4e · outbound

This paper cites Unified Pre-training for Program Understanding and Generation.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Unified Pre-training for Program Understanding and Generation

Reference 2

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Observation a1d3c295-4764-486c-b8e1-2106b10a0e77 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Blended diffusion for text-driven editing of natural images

Reference 3

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Observation 8dd1f75a-a8e9-42ca-b993-8976e69e658e · outbound

This paper cites Automatic Table completion using Knowledge Base.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Automatic Table completion using Knowledge Base

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:36.452343Z

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Observation 5ad07537-9853-4ed4-97fc-daf005fdf57a · outbound

This paper cites Label-efficient semantic segmentation with diffusion models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Label-efficient semantic segmentation with diffusion models

Reference 5

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Observation 4e21189d-6680-483d-a129-9d67b1ee0c34 · outbound

This paper cites Improving image generation with better captions.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Improving image generation with better captions

Reference 7

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Observation e242587f-7cc7-4e46-919e-a70d793ef20b · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Instructpix2pix: Learning to follow image editing instructions

Reference 8

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Observation 06f4cdec-faf2-4218-b027-7a9520b427d0 · outbound

This paper cites Video generation models as world simulators.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Video generation models as world simulators

Reference 9

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Observation d0af0974-de91-4bed-84f7-8409db5b665e · outbound

This paper cites Language models are few-shot learners.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Language models are few-shot learners

Reference 10

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Observation 80e43f30-cf00-4f2b-a0af-d85dffaf16e9 · outbound

This paper cites Diffusion Self-Distillation for Zero-Shot Customized Image Generation.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Diffusion Self-Distillation for Zero-Shot Customized Image Generation

Reference 11

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Observation 105ae17e-4228-49cd-98cc-acb5810de5b6 · outbound

This paper cites Training-free Regional Prompting for Diffusion Transformers.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Training-free Regional Prompting for Diffusion Transformers

Reference 12

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Observation f2ac595c-65e3-45d2-a375-7c7ecaebb6fd · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Topiq: A top-down approach from semantics to distortions for image quality assessment

Reference 13

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Observation 7964e635-75c6-41b9-bc9c-1f5fad5aa14c · outbound

This paper cites Evaluating Large Language Models Trained on Code.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Evaluating Large Language Models Trained on Code

Reference 14

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Observation 9534fc3a-78a6-4e30-b4ad-e373b1731340 · outbound

This paper cites Graphics- dreamer: Image to 3d generation with physical consistency.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Graphics- dreamer: Image to 3d generation with physical consistency

Reference 15

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Observation 4e88b836-a7ee-422d-97f7-135aff87a4b8 · outbound

This paper cites Zhang, Gaofeng Meng, Xinyu Xiao, and Jian Sun.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Zhang, Gaofeng Meng, Xinyu Xiao, and Jian Sun

Reference 16

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Observation f5771222-731c-49fd-925d-4a1773631b48 · outbound

This paper cites CoLay: Controllable Layout Generation through Multi-conditional Latent Diffusion.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models CoLay: Controllable Layout Generation through Multi-conditional Latent Diffusion

Reference 17

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Observation 8140b057-ee5f-40aa-b8e0-02c39edfa78d · outbound

This paper cites Dibia and Ça ˘gatay Demiralp.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Dibia and Ça ˘gatay Demiralp

Reference 18

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Observation 5150b6c2-4075-4fa7-9b3f-8409af47a5d0 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 19

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Observation 7fab635d-fefe-42f2-9af2-8cd4db2a551a · outbound

This paper cites Flux, 2024.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Flux, 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:37.093738Z

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Observation 05781f8e-0607-4959-8b40-86ae62c311a3 · outbound

This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 21

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Observation 86cbbaa3-b068-402a-ae93-7afc7168ddb0 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 22

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Observation 3e0f86c3-9a47-48b3-9a75-7ff8e71c7a35 · outbound

This paper cites Seer: Language Instructed Video Prediction with Latent Diffusion Models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Seer: Language Instructed Video Prediction with Latent Diffusion Models

Reference 23

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Observation 8ae5599d-a1e4-4458-b728-f4cfa8134bdc · outbound

This paper cites Sciverse: Multimodal scientific benchmark for large models, 2024.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Sciverse: Multimodal scientific benchmark for large models, 2024

Reference 24

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Observation d8d4fc67-4aef-42b6-96ed-76d06ed00ded · outbound

This paper cites Joint-mae: 2d-3d joint masked autoencoders for 3d point cloud pre-training.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Joint-mae: 2d-3d joint masked autoencoders for 3d point cloud pre-training

Reference 25

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Observation 147724f4-f3a0-4a5f-928d-2feeb035c551 · outbound

This paper cites Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Reference 26

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Observation cc9c52d3-c551-460e-b68f-35e491761680 · outbound

This paper cites SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners

Reference 27

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Observation d6bdb15f-500f-41e2-a7af-ba64b05088d1 · outbound

This paper cites ImageBind-LLM: Multi-modality Instruction Tuning.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models ImageBind-LLM: Multi-modality Instruction Tuning

Reference 28

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Observation 0c1c9088-f367-4185-a4df-9eb0f23c626f · outbound

This paper cites Capa: Carve-n-paint synthesis for efficient 4k textured mesh generation.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Capa: Carve-n-paint synthesis for efficient 4k textured mesh generation

Reference 29

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Observation 2491b58c-dd4d-4536-9df0-82487c0cb798 · outbound

This paper cites Video diffusion models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Video diffusion models

Reference 30

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Observation 44796fe6-984d-42d7-ac1f-f0d1858ba8b4 · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models In-Context LoRA for Diffusion Transformers

Reference 31

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Observation 7ec050bf-8549-454b-8210-ebef4108b854 · outbound

This paper cites Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models

Reference 32

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Observation 247d54e7-73b0-4a5a-b922-40f814791996 · outbound

This paper cites Tech: Text-guided reconstruction of lifelike clothed humans.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Tech: Text-guided reconstruction of lifelike clothed humans

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:37.002565Z

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Observation d4086814-3efe-411b-98d0-f9ea7b35fcb1 · outbound

This paper cites Rehg, and Varun Jampani.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Rehg, and Varun Jampani

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.985935Z

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Observation 5aa19789-73e0-43a6-b0b9-99bc5d412ad5 · outbound

This paper cites Unifying layout generation with a decoupled diffusion model.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Unifying layout generation with a decoupled diffusion model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.969397Z

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Observation 36e2c03b-547d-4c1f-b183-40f47dd13f4b · outbound

This paper cites Ideogram2.0, 2024.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Ideogram2.0, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.950921Z

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Observation 63155cf2-d014-4471-960a-082242593a0e · outbound

This paper cites CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

Reference 37

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Observation 489dd71e-a705-4ba6-ac3b-c1c860b62ce9 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Imagic: Text-based real image editing with diffusion models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.931978Z

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Observation 7f880129-2c4a-49fc-809f-d17b4ca9d61f · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Repurposing diffusion-based image generators for monocular depth estimation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.915483Z

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Observation d13fcc26-ef6a-43bc-b5e7-1b979fb97596 · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Musiq: Multi-scale image quality transformer

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.898901Z

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Observation 811f0100-f0b2-431b-ad9b-c0f0d4ead4d1 · outbound

This paper cites David: Modeling dynamic affordance of 3d objects using pre-trained video diffusion models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models David: Modeling dynamic affordance of 3d objects using pre-trained video diffusion models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.881426Z

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Observation 244b0d09-3906-49f1-ac21-4741d6ebffbd · outbound

This paper cites Diffwave: A versatile diffusion model for audio synthesis.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Diffwave: A versatile diffusion model for audio synthesis

Reference 42

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Observation 205081ec-5308-4aa1-afcc-78da1f34a302 · outbound

This paper cites Exploiting diffusion prior for general- izable dense prediction.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Exploiting diffusion prior for general- izable dense prediction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.851931Z

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Observation 1e7fa420-0d1b-4873-b353-6313d8aa430e · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 44

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Observation 700fca19-cb51-4cbe-809b-15818d86dd94 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.602049Z

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Observation 96e906d5-9858-4aab-90bd-73308d73cd47 · outbound

This paper cites Simavatar: Simulation-ready avatars with layered hair and clothing.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Simavatar: Simulation-ready avatars with layered hair and clothing

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.834494Z

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Observation f17e0d10-a7ab-4a2b-a132-fbce646c57a0 · outbound

This paper cites Anid: How far are we? evaluating the discrepancies between ai-synthesized images and natural images through multimodal guidance.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Anid: How far are we? evaluating the discrepancies between ai-synthesized images and natural images through multimodal guidance

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.815302Z

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Observation 402fa52d-148c-47fe-acaf-54f89dc06237 · outbound

This paper cites Rupprecht.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Rupprecht

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.795707Z

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Observation 38b49547-1091-4bd6-b74f-452fa692f9eb · outbound

This paper cites A Survey of Deep Learning for Mathematical Reasoning.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models A Survey of Deep Learning for Mathematical Reasoning

Reference 49

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Observation c0f63fa5-dac7-4971-9900-94b9f83e513c · outbound

This paper cites ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.623430Z

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Observation e3834a71-6331-41e5-8498-6e9496cb6f5c · outbound

This paper cites Leveraging confident image regions for source-free domain-adaptive object detection.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Leveraging confident image regions for source-free domain-adaptive object detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.775995Z

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Observation c534d2b8-ca3b-426e-a7c1-0566c96bcc72 · outbound

This paper cites PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models

Reference 52

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Observation b6312deb-a5b3-427d-9030-602d20374be6 · outbound

This paper cites One-d-piece: Image tokenizer meets quality-controllable compression.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models One-d-piece: Image tokenizer meets quality-controllable compression

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.758142Z

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Observation 2b70e9c7-6e42-4182-b8f3-58ce41681ff9 · outbound

This paper cites Do generative video models learn physical principles from watching videos? 2025.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Do generative video models learn physical principles from watching videos? 2025

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.741662Z

Source-reported events for the cited work

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Observation 6593149f-f4c1-4dd0-b36d-91e886732784 · outbound

This paper cites Boosting text-to-image generation via multilingual prompting in large multimodal models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Boosting text-to-image generation via multilingual prompting in large multimodal models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.725137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c470553e-010b-402d-b389-34db4fd07ec1 · outbound

This paper cites GPT-4o System Card.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models GPT-4o System Card

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.650268Z

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Observation 914e05fd-07ed-45a4-8e56-8661da6a052a · outbound

This paper cites MathBERT: A Pre-Trained Model for Mathematical Formula Understanding.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models MathBERT: A Pre-Trained Model for Mathematical Formula Understanding

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.654643Z

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Observation 38d77a10-99b7-4912-9f10-476d052decf8 · outbound

This paper cites Mutualforce: Mutual-aware enhancement for 4d radar-lidar 3d object detection.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Mutualforce: Mutual-aware enhancement for 4d radar-lidar 3d object detection

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.709105Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 690bd2c5-eacc-43f6-bd1e-5014b3fd2460 · outbound

This paper cites Improving language understanding by generative pre-training.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Improving language understanding by generative pre-training

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.664152Z

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Observation 40d37746-71c2-4d30-aba8-17ce8211d244 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Learning Transferable Visual Models From Natural Language Supervision

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.668603Z

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Observation 26c27ef8-0c9e-4bb6-80f4-eeb9918ac54c · outbound

This paper cites Language models are unsupervised multitask learners.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Language models are unsupervised multitask learners

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.673281Z

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Observation 921a0ba6-b59e-41a2-93db-ccacbb4f7ae7 · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.677631Z

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Observation 99d78afd-5cf8-4cb9-aa39-2ed2c5f8a74d · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.682278Z

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Observation a840cd9d-5bc9-4df5-9460-126a38fa7bd9 · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models High- resolution image synthesis with latent diffusion models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.660747Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed916e73-e527-48eb-ac84-db23ef176aab · outbound

This paper cites Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.691354Z

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Observation 47a61c8e-ddd2-4a96-9875-ff48b88a75a4 · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Photorealistic text-to-image diffusion models with deep language understanding

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.696353Z

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Observation c1bf9d84-aced-4f62-be4b-18bb08317731 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.700579Z

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Observation f54c9011-7ba0-4318-9659-e3d16a50ebf4 · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.705131Z

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Observation e327c015-69cd-44d6-95a8-04179afb4994 · outbound

This paper cites Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.709560Z

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Observation 3c1ace7a-dbec-4dcc-b897-386a7e70bb96 · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.713925Z

Source-reported events for the cited work

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Observation dbefce17-3ceb-40f0-b84b-30c72b83f12e · outbound

This paper cites Human motion diffusion model.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Human motion diffusion model

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.718409Z

Source-reported events for the cited work

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Observation f07f4f2f-a5c2-4f98-b73a-a130ab840b4e · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.722593Z

Source-reported events for the cited work

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Observation 3c91327d-04a7-4606-b7da-2643fa0b2a23 · outbound

This paper cites Translating Math Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Translating Math Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.726865Z

Source-reported events for the cited work

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Observation 9c7320db-a18f-40dc-90ce-193852b85683 · outbound

This paper cites On AI-Inspired UI-Design.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models On AI-Inspired UI-Design

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:35.959457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e6b2ca0a-5bb8-4ce8-92b1-3c3fb81e8cd0 · outbound

This paper cites Boosting gui prototyping with diffusion models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Boosting gui prototyping with diffusion models

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.622654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 37bdb7c2-420f-470e-ae00-56a8729e9854 · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.741713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d3f3e3c-69e1-4e78-8e12-fac062797ca7 · outbound

This paper cites Diffir: Efficient diffusion model for image restoration.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Diffir: Efficient diffusion model for image restoration

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.746673Z

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Observation 89843210-b96e-4734-9fc1-afe37ee1c9b6 · outbound

This paper cites MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:31:35.919905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 751dd917-2e38-4677-a8e6-880905b685b4 · outbound

This paper cites Open-vocabulary panoptic segmentation with text-to-image diffusion models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Open-vocabulary panoptic segmentation with text-to-image diffusion models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.596727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af2a47b7-d719-4a24-96f4-e7a87ae3edb8 · outbound

This paper cites Synthesizing Tabular Data using Generative Adversarial Networks.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Synthesizing Tabular Data using Generative Adversarial Networks

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.761133Z

Source-reported events for the cited work

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Observation dee41503-f2a4-4c2e-8572-922e89f6f9c5 · outbound

This paper cites Xu and et al.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Xu and et al

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.581076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b6b14f4c-f832-497e-9eec-abb12bf15d91 · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.770683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe6c0ad-7f5a-4a62-bb82-a0ced303a218 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.775497Z

Source-reported events for the cited work

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Observation 23677610-3f0e-4ecb-b59e-53e60d0dfee9 · outbound

This paper cites Follow-your- multipose: Tuning-free multi-character text-to-video generation via pose guidance.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Follow-your- multipose: Tuning-free multi-character text-to-video generation via pose guidance

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.565682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9ac4499c-3b46-4c57-80c5-cde2616de3dd · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Adding conditional control to text-to-image diffusion models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.784204Z

Source-reported events for the cited work

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Observation 4fe56703-2d65-4690-b28f-40ea1291acd0 · outbound

This paper cites Motiondiffuse: Text-driven human motion generation with diffusion model.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Motiondiffuse: Text-driven human motion generation with diffusion model

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.539602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3cb1bebd-d2bd-4f68-a3a8-3382c9a35359 · outbound

This paper cites Llama-adapter: Efficient fine-tuning of large language models with zero-initialized attention.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Llama-adapter: Efficient fine-tuning of large language models with zero-initialized attention

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.792632Z

Source-reported events for the cited work

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Observation 86197403-3d8a-4e1a-a67d-9118edc42e66 · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? ECCV 2024, 2024.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? ECCV 2024, 2024

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.796763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96e24ed7-194e-405b-b6ff-256442c2c3e9 · outbound

This paper cites Personalize segment anything model with one shot.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Personalize segment anything model with one shot

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.502943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8bed7407-1a0f-4229-a0b6-dad16cd87fed · outbound

This paper cites MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T15:31:35.805509Z

Source-reported events for the cited work

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Observation 2f3ee3ad-1107-41aa-b0bf-b922f252f2a9 · outbound

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

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Blind image quality assessment using a deep bilinear convolutional neural network

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:31:36.487759Z

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