{"total":171,"rows":[{"id":"2403.05135","title":"ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment","created":"2024-03-08","cited_by_count":475,"area":"diffusion"},{"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":"2312.10240","title":"Rich Human Feedback for Text-to-Image Generation","created":"2023-12-15","cited_by_count":141,"area":"diffusion"},{"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":"2510.06308","title":"Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding","created":"2025-10-07","cited_by_count":88,"area":"diffusion"},{"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":"2404.03653","title":"CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching","created":"2024-04-04","cited_by_count":61,"area":"diffusion"},{"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":"2504.04907","title":"Video-Bench: Human-Aligned Video Generation Benchmark","created":"2025-04-07","cited_by_count":57,"area":"alignment"},{"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":"2402.08680","title":"Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance","created":"2024-02-13","cited_by_count":46,"area":"mllm"},{"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":"2509.09680","title":"FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark","created":"2025-09-11","cited_by_count":38,"area":"lr"},{"id":"2406.10429","title":"Consistency-diversity-realism Pareto fronts of conditional image generative models","created":"2024-06-14","cited_by_count":36,"area":"wm"},{"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":"2410.18013","title":"Scalable Ranked Preference Optimization for Text-to-Image Generation","created":"2024-10-23","cited_by_count":33,"area":"alignment"},{"id":"2505.07538","title":"Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning","created":"2025-05-12","cited_by_count":33,"area":"lr"},{"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":"2410.02098","title":"EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing","created":"2024-10-02","cited_by_count":30,"area":"diffusion"},{"id":"2507.19024","title":"A Survey of Multimodal Hallucination Evaluation and Detection","created":"2025-07-25","cited_by_count":27,"area":"mllm"},{"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":"2505.23380","title":"UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning","created":"2025-05-29","cited_by_count":24,"area":"mllm"},{"id":"2408.14765","title":"CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis","created":"2024-08-27","cited_by_count":23,"area":"diffusion"},{"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":"2404.01367","title":"Bigger is not Always Better: Scaling Properties of Latent Diffusion Models","created":"2024-04-01","cited_by_count":21,"area":"diffusion"},{"id":"2410.05664","title":"Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning","created":"2024-10-08","cited_by_count":21,"area":"diffusion"},{"id":"2406.16562","title":"EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models","created":"2024-06-24","cited_by_count":20,"area":"mllm"},{"id":"2512.16899","title":"Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image","created":"2025-12-18","cited_by_count":20,"area":"alignment"},{"id":"2503.12652","title":"UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing","created":"2025-03-16","cited_by_count":19,"area":"diffusion"},{"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":"2509.10704","title":"Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration","created":"2025-09-12","cited_by_count":19,"area":"agents"},{"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":"2406.05191","title":"DiffusionPID: Interpreting Diffusion via Partial Information Decomposition","created":"2024-06-07","cited_by_count":16,"area":"diffusion"},{"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":"2412.02368","title":"ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?","created":"2024-12-03","cited_by_count":13,"area":"mllm"},{"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":"2502.13372","title":"MoVer: Motion Verification for Motion Graphics Animations","created":"2025-02-19","cited_by_count":10,"area":"mllm"},{"id":"2410.07133","title":"EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models","created":"2024-10-09","cited_by_count":9,"area":"mllm"},{"id":"2503.16867","title":"ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering","created":"2025-03-21","cited_by_count":9,"area":"alignment"},{"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":"2506.01480","title":"Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning","created":"2025-06-02","cited_by_count":9,"area":"mllm"},{"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":"2601.03468","title":"Understanding Reward Hacking in Text-to-Image Reinforcement Learning","created":"2026-01-06","cited_by_count":9,"area":"alignment"},{"id":"2410.22315","title":"Natural Language Inference Improves Compositionality in Vision-Language Models","created":"2024-10-29","cited_by_count":8,"area":"lr"},{"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":"2512.02161","title":"FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges","created":"2025-12-01","cited_by_count":7,"area":"mllm"},{"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":"2410.11824","title":"KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities","created":"2024-10-15","cited_by_count":5,"area":"rag"},{"id":"2410.13121","title":"Trust but Verify: Programmatic VLM Evaluation in the Wild","created":"2024-10-17","cited_by_count":5,"area":"mllm"},{"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":"2412.18404","title":"Extract Free Dense Misalignment from CLIP","created":"2024-12-24","cited_by_count":5,"area":"mllm"},{"id":"2506.16853","title":"Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models","created":"2025-06-20","cited_by_count":5,"area":"diffusion"},{"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":"2412.06089","title":"GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis","created":"2024-12-08","cited_by_count":4,"area":"diffusion"},{"id":"2503.10037","title":"Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition","created":"2025-03-13","cited_by_count":4,"area":"diffusion"},{"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":"2605.12495","title":"AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward","created":"2026-05-12","cited_by_count":4,"area":"lr"},{"id":"2405.16759","title":"Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models","created":"2024-05-27","cited_by_count":3,"area":"diffusion"},{"id":"2409.13612","title":"FIHA: Autonomous Hallucination Evaluation in Vision-Language Models with Davidson Scene Graphs","created":"2024-09-20","cited_by_count":3,"area":"mllm"},{"id":"2411.19106","title":"Detailed Object Description with Controllable Dimensions","created":"2024-11-28","cited_by_count":3,"area":null}],"next_cursor":"100"}