{"total":49,"rows":[{"id":"2411.16594","title":"From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge","created":"2024-11-25","cited_by_count":494,"area":null},{"id":"2404.01291","title":"Evaluating Text-to-Visual Generation with Image-to-Text Generation","created":"2024-04-01","cited_by_count":474,"area":null},{"id":"2305.15393","title":"LayoutGPT: Compositional Visual Planning and Generation with Large Language Models","created":"2023-05-24","cited_by_count":347,"area":null},{"id":"2307.06350","title":"T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation","created":"2023-07-12","cited_by_count":260,"area":null},{"id":"2312.14867","title":"VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation","created":"2023-12-22","cited_by_count":201,"area":null},{"id":"2406.13743","title":"GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation","created":"2024-06-19","cited_by_count":135,"area":null},{"id":"2406.16855","title":"DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation","created":"2024-06-24","cited_by_count":131,"area":null},{"id":"2311.01361","title":"GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks","created":"2023-11-02","cited_by_count":119,"area":null},{"id":"2407.04069","title":"A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations","created":"2024-07-04","cited_by_count":85,"area":null},{"id":"2406.07546","title":"Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?","created":"2024-06-11","cited_by_count":52,"area":null},{"id":"2406.08656","title":"TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation","created":"2024-06-12","cited_by_count":43,"area":null},{"id":"2405.19334","title":"LLMs Meet Multimodal Generation and Editing: A Survey","created":"2024-05-29","cited_by_count":35,"area":null},{"id":"2505.23493","title":"R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation","created":"2025-05-29","cited_by_count":32,"area":null},{"id":"2407.06863","title":"Beyond Aesthetics: Cultural Competence in Text-to-Image Models","created":"2024-07-09","cited_by_count":30,"area":null},{"id":"2412.06771","title":"Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty","created":"2024-12-09","cited_by_count":25,"area":null},{"id":"2403.11821","title":"A Survey on Quality Metrics for Text-to-Image Generation","created":"2024-03-18","cited_by_count":18,"area":null},{"id":"2404.04251","title":"Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)","created":"2024-04-05","cited_by_count":18,"area":null},{"id":"2401.12689","title":"Energy-based Automated Model Evaluation","created":"2024-01-23","cited_by_count":17,"area":null},{"id":"2403.18493","title":"VersaT2I: Improving Text-to-Image Models with Versatile Reward","created":"2024-03-27","cited_by_count":17,"area":null},{"id":"2502.03629","title":"REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations","created":"2025-02-05","cited_by_count":15,"area":null},{"id":"2504.13129","title":"Science-T2I: Addressing Scientific Illusions in Image Synthesis","created":"2025-04-17","cited_by_count":15,"area":null},{"id":"2506.08835","title":"CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics","created":"2025-06-10","cited_by_count":15,"area":null},{"id":"2412.04300","title":"T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts","created":"2024-12-05","cited_by_count":14,"area":null},{"id":"2312.02338","title":"A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics","created":"2023-12-04","cited_by_count":12,"area":null},{"id":"2412.09997","title":"GT23D-Bench: A Comprehensive General Text-to-3D Generation Benchmark","created":"2024-12-13","cited_by_count":12,"area":null},{"id":"2404.15163","title":"Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment","created":"2024-04-23","cited_by_count":10,"area":null},{"id":"2506.13827","title":"Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing","created":"2025-06-15","cited_by_count":10,"area":null},{"id":"2410.22360","title":"ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models","created":"2024-10-25","cited_by_count":9,"area":null},{"id":"2403.16394","title":"Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation","created":"2024-03-25","cited_by_count":8,"area":null},{"id":"2510.10231","title":"Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images","created":"2025-10-11","cited_by_count":8,"area":null},{"id":"2412.15677","title":"AI-generated Image Quality Assessment in Visual Communication","created":"2024-12-20","cited_by_count":7,"area":null},{"id":"2412.18688","title":"Video Is Worth a Thousand Images: Exploring the Latest Trends in Long Video Generation","created":"2024-12-24","cited_by_count":7,"area":null},{"id":"2411.07664","title":"Evaluating the Generation of Spatial Relations in Text and Image Generative Models","created":"2024-11-12","cited_by_count":6,"area":null},{"id":"2408.01363","title":"Toward Automatic Relevance Judgment using Vision--Language Models for Image--Text Retrieval Evaluation","created":"2024-08-02","cited_by_count":5,"area":null},{"id":"2512.07702","title":"Guiding What Not to Generate: Automated Negative Prompting for Text-Image Alignment","created":"2025-12-08","cited_by_count":5,"area":null},{"id":"2402.11572","title":"Cobra Effect in Reference-Free Image Captioning Metrics","created":"2024-02-18","cited_by_count":4,"area":null},{"id":"2408.09126","title":"DreamBarbie: Text to Barbie-Style 3D Avatars","created":"2024-08-17","cited_by_count":4,"area":null},{"id":"2412.11586","title":"StrandHead: Text to Hair-Disentangled 3D Head Avatars Using Human-Centric Priors","created":"2024-12-16","cited_by_count":4,"area":null},{"id":"2408.06258","title":"Targeted Deep Learning System Boundary Testing","created":"2024-08-12","cited_by_count":3,"area":null},{"id":"2410.08534","title":"Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities","created":"2024-10-11","cited_by_count":3,"area":null},{"id":"2502.15167","title":"M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessment","created":"2025-02-21","cited_by_count":2,"area":null},{"id":"2411.15509","title":"Interactive Visual Assessment for Text-to-Image Generation Models","created":"2024-11-23","cited_by_count":1,"area":null},{"id":"2505.18730","title":"Align Beyond Prompts: Evaluating World Knowledge Alignment in Text-to-Image Generation","created":"2025-05-24","cited_by_count":1,"area":null},{"id":"2509.22940","title":"LLMs Behind the Scenes: Enabling Narrative Scene Illustration","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2606.20100","title":"WeGenBench: A Multidimensional Diagnostic Benchmark towards Text-to-Image Model Optimization","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2603.22091","title":"P-Flow: Prompting Visual Effects Generation","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2605.13223","title":"Skill-Aligned Annotation for Reliable Evaluation in Text-to-Image Generation","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2607.24898","title":"Harm is not Universal: Community-Specific Toxicity Detection is Urgently Needed","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2610.02959","title":"TerraVis: Towards Evaluation of World-Grounded Visual Consistency in Text-to-Image Generation via MLLM Workflows","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}