{"total":101,"rows":[{"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":"2506.18871","title":"OmniGen2: Towards Instruction-Aligned Multimodal Generation","created":"2025-06-23","cited_by_count":253,"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":"2404.19753","title":"DOCCI: Descriptions of Connected and Contrasting Images","created":"2024-04-30","cited_by_count":132,"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":"2409.10695","title":"Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models","created":"2024-09-16","cited_by_count":116,"area":null},{"id":"2403.17804","title":"Improving Text-to-Image Consistency via Automatic Prompt Optimization","created":"2024-03-26","cited_by_count":90,"area":null},{"id":"2506.07977","title":"OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation","created":"2025-06-09","cited_by_count":87,"area":null},{"id":"2505.02567","title":"Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities","created":"2025-05-05","cited_by_count":85,"area":null},{"id":"2506.02161","title":"TIIF-Bench: How Does Your T2I Model Follow Your Instructions?","created":"2025-06-02","cited_by_count":69,"area":null},{"id":"2311.17138","title":"Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now","created":"2023-11-28","cited_by_count":61,"area":null},{"id":"2408.14339","title":"ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty","created":"2024-08-26","cited_by_count":61,"area":null},{"id":"2311.17946","title":"DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback","created":"2023-11-29","cited_by_count":58,"area":null},{"id":"2512.16853","title":"GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation","created":"2025-12-18","cited_by_count":52,"area":null},{"id":"2404.16820","title":"Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings","created":"2024-04-25","cited_by_count":44,"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":"2407.16711","title":"Benchmarks as Microscopes: A Call for Model Metrology","created":"2024-07-22","cited_by_count":35,"area":null},{"id":"2509.03516","title":"Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?","created":"2025-09-03","cited_by_count":34,"area":null},{"id":"2404.01294","title":"CosmicMan: A Text-to-Image Foundation Model for Humans","created":"2024-04-01","cited_by_count":30,"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":"2412.07730","title":"STIV: Scalable Text and Image Conditioned Video Generation","created":"2024-12-10","cited_by_count":25,"area":null},{"id":"2312.03050","title":"HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding","created":"2023-12-05","cited_by_count":22,"area":null},{"id":"2507.11245","title":"NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation","created":"2025-07-15","cited_by_count":22,"area":null},{"id":"2605.28091","title":"Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation","created":"2026-05-27","cited_by_count":22,"area":null},{"id":"2505.11493","title":"GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing","created":"2025-05-16","cited_by_count":19,"area":null},{"id":"2312.03766","title":"Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment","created":"2023-12-05","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":"2403.18493","title":"VersaT2I: Improving Text-to-Image Models with Versatile Reward","created":"2024-03-27","cited_by_count":17,"area":null},{"id":"2505.19415","title":"MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models","created":"2025-05-26","cited_by_count":17,"area":null},{"id":"2504.18509","title":"Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation","created":"2025-04-25","cited_by_count":16,"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":"2403.06952","title":"SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data","created":"2024-03-11","cited_by_count":14,"area":null},{"id":"2410.02740","title":"Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models","created":"2024-10-03","cited_by_count":14,"area":null},{"id":"2410.07473","title":"Localizing Factual Inconsistencies in Attributable Text Generation","created":"2024-10-09","cited_by_count":14,"area":null},{"id":"2509.09666","title":"Unified Multimodal Models as Auto-Encoders","created":"2025-09-11","cited_by_count":13,"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":"2406.14774","title":"Evaluating Numerical Reasoning in Text-to-Image Models","created":"2024-06-20","cited_by_count":12,"area":null},{"id":"2412.13989","title":"What makes a good metric? Evaluating automatic metrics for text-to-image consistency","created":"2024-12-18","cited_by_count":12,"area":null},{"id":"2506.01955","title":"Dual-Process Image Generation","created":"2025-06-02","cited_by_count":12,"area":null},{"id":"2405.00485","title":"What Makes for Good Image Captions?","created":"2024-05-01","cited_by_count":11,"area":null},{"id":"2505.23484","title":"VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation","created":"2025-05-29","cited_by_count":9,"area":null},{"id":"2510.14847","title":"ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints","created":"2025-10-16","cited_by_count":9,"area":null},{"id":"2503.14064","title":"AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark","created":"2025-03-18","cited_by_count":7,"area":null},{"id":"2510.09201","title":"Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs","created":"2025-10-10","cited_by_count":7,"area":null},{"id":"2603.27862","title":"ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks","created":"2026-03-29","cited_by_count":7,"area":null},{"id":"2505.16334","title":"Panoptic Captioning: An Equivalence Bridge for Image and Text","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2505.16915","title":"DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2506.23138","title":"VisualPrompter: Semantic-Aware Prompt Optimization with Visual Feedback for Text-to-Image Synthesis","created":"2025-06-29","cited_by_count":6,"area":null},{"id":"2510.07217","title":"GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation","created":"2025-10-08","cited_by_count":6,"area":null},{"id":"2510.19557","title":"The Intricate Dance of Prompt Complexity, Quality, Diversity, and Consistency in T2I Models","created":"2025-10-22","cited_by_count":6,"area":null},{"id":"2412.10426","title":"CAP: Evaluation of Persuasive and Creative Image Generation","created":"2024-12-10","cited_by_count":5,"area":null},{"id":"2412.10604","title":"EvalGIM: A Library for Evaluating Generative Image Models","created":"2024-12-13","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":"2410.10291","title":"Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective","created":"2024-10-14","cited_by_count":4,"area":null},{"id":"2505.15172","title":"Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2506.05108","title":"DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models","created":"2025-06-05","cited_by_count":4,"area":null},{"id":"2509.21227","title":"Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation","created":"2025-09-25","cited_by_count":4,"area":null},{"id":"2511.18825","title":"Q-Save: Towards Scoring and Attribution for Generated Video Evaluation","created":"2025-11-24","cited_by_count":4,"area":null},{"id":"2411.19106","title":"Detailed Object Description with Controllable Dimensions","created":"2024-11-28","cited_by_count":3,"area":null},{"id":"2507.22100","title":"Trade-offs in Image Generation: How Do Different Dimensions Interact?","created":"2025-07-29","cited_by_count":3,"area":null},{"id":"2510.20586","title":"GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation Models","created":"2025-10-23","cited_by_count":3,"area":null},{"id":"2602.00249","title":"SANEval: Open-Vocabulary Compositional Benchmarks with Failure-mode Diagnosis","created":"2026-01-30","cited_by_count":3,"area":null},{"id":"2505.11314","title":"CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2603.28082","title":"LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization","created":"2026-03-30","cited_by_count":2,"area":null},{"id":"2605.11722","title":"EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2606.25306","title":"Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation","created":"2026-06-24","cited_by_count":2,"area":null},{"id":"2606.26984","title":"Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation","created":"2026-06-25","cited_by_count":2,"area":null},{"id":"2606.31711","title":"Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist","created":"2026-06-30","cited_by_count":2,"area":null},{"id":"2607.21072","title":"Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text","created":"2026-07-23","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":"2507.07079","title":"Evaluating Attribute Confusion in Fashion Text-to-Image Generation","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2508.06152","title":"VISTAR:A User-Centric and Role-Driven Benchmark for Text-to-Image Evaluation","created":"2025-08-08","cited_by_count":1,"area":null},{"id":"2607.11199","title":"DynEval: Holistic Evaluations of T2I Generative Models in the Wild","created":"2026-07-13","cited_by_count":1,"area":null},{"id":"2607.13527","title":"VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation","created":"2026-07-15","cited_by_count":1,"area":null},{"id":"2607.18724","title":"One Rewrite to Fix Them All? Type-Aware Repair Allocation for Text-to-Image Prompt Optimization","created":"2026-07-21","cited_by_count":1,"area":null},{"id":"2608.15395","title":"JoLT: Joint Latent Trajectories for Context-Guided High-Resolution Tiled Generation","created":"2026-08-15","cited_by_count":1,"area":null},{"id":"2609.02864","title":"Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation","created":"2026-09-02","cited_by_count":1,"area":null},{"id":"2510.16179","title":"Cost Savings from Automatic Quality Assessment of Generated Images","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2510.23020","title":"M$^{3}$T2IBench: A Large-Scale Multi-Category, Multi-Instance, Multi-Relation Text-to-Image Benchmark","created":"2025-10-27","cited_by_count":0,"area":null},{"id":"2511.18378","title":"Synthetic Curriculum Reinforces Compositional Text-to-Image Generation","created":"2025-11-23","cited_by_count":0,"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":"2606.05949","title":"Faithful, Enriched, and Precise: Benchmarking Natural-Science Illustration Generation by T2I models","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2607.23235","title":"A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions","created":"2026-07-25","cited_by_count":0,"area":null},{"id":"2609.32188","title":"Presence Is Not Faithfulness: Figurative Vehicle Intrusion in Text-to-Image Generation","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.35504","title":"SolveEdit: Benchmarking Visual Problem Solving in Generative Models","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.38642","title":"ChartRevise: A Dataset and Evaluation Protocol for Exact Chart Editing via Code","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.00383","title":"EvoGen-Harness: Learning Where and How to Evolve Image-Generation Harnesses","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.00447","title":"Frozen Scenes, Shifting Winners: Configuration Fragility in Text-to-3D Evaluation","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.00952","title":"A Matched-Budget Audit Framework for Recaptioned Image-Text Supervision Distributions","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.00994","title":"VIEScore2: Unified Image Evaluation with Spatially Grounded Explanations","created":"2026-10-01","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},{"id":"2610.03084","title":"NegT2IBench: When Negation Changes the Picture. A Polarity Benchmark for Text-to-Image Models","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.09328","title":"Visual Jev Rewards: Reference-Bound Verification for Multi-Subject Image Generation","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.16441","title":"VisExMEM: Visual Evidence-Based Explainable Multimodal Evaluation Metric","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.18819","title":"DuplexBridge: Coordinating Understanding and Generation for Unified Image Editing","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":"100"}