{"total":54,"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":"2407.14505","title":"T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation","created":"2024-07-19","cited_by_count":185,"area":null},{"id":"2405.17247","title":"An Introduction to Vision-Language Modeling","created":"2024-05-27","cited_by_count":178,"area":"mllm"},{"id":"2310.18235","title":"Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation","created":"2023-10-27","cited_by_count":171,"area":null},{"id":"2306.05427","title":"Grounded Text-to-Image Synthesis with Attention Refocusing","created":"2023-06-08","cited_by_count":164,"area":"diffusion"},{"id":"2309.15091","title":"VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning","created":"2023-09-26","cited_by_count":141,"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":"2310.15123","title":"Branch-Solve-Merge Improves Large Language Model Evaluation and Generation","created":"2023-10-23","cited_by_count":106,"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":"2401.00812","title":"If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents","created":"2024-01-01","cited_by_count":79,"area":"agents"},{"id":"2311.17002","title":"Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following","created":"2023-11-28","cited_by_count":77,"area":"diffusion"},{"id":"2404.06511","title":"MoReVQA: Exploring Modular Reasoning Models for Video Question Answering","created":"2024-04-09","cited_by_count":74,"area":"lr"},{"id":"2404.07214","title":"Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions","created":"2024-02-20","cited_by_count":68,"area":"mllm"},{"id":"2401.07781","title":"Towards A Better Metric for Text-to-Video Generation","created":"2024-01-15","cited_by_count":51,"area":null},{"id":"2306.01879","title":"Revisiting the Role of Language Priors in Vision-Language Models","created":"2023-06-02","cited_by_count":50,"area":"mllm"},{"id":"2403.09675","title":"Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases","created":"2024-02-05","cited_by_count":45,"area":null},{"id":"2310.12971","title":"CLAIR: Evaluating Image Captions with Large Language Models","created":"2023-10-19","cited_by_count":43,"area":null},{"id":"2312.08366","title":"See, Say, and Segment: Teaching LMMs to Overcome False Premises","created":"2023-12-13","cited_by_count":41,"area":"mllm"},{"id":"2309.05950","title":"Language Models as Black-Box Optimizers for Vision-Language Models","created":"2023-09-12","cited_by_count":36,"area":"mllm"},{"id":"2401.16467","title":"ReGAL: Refactoring Programs to Discover Generalizable Abstractions","created":"2024-01-29","cited_by_count":36,"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":"2411.07132","title":"Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis","created":"2024-11-11","cited_by_count":35,"area":"inference"},{"id":"2310.12128","title":"DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning","created":"2023-10-18","cited_by_count":29,"area":null},{"id":"2406.01495","title":"Re-ReST: Reflection-Reinforced Self-Training for Language Agents","created":"2024-06-03","cited_by_count":29,"area":null},{"id":"2308.13142","title":"A Survey of Diffusion Based Image Generation Models: Issues and Their Solutions","created":"2023-08-25","cited_by_count":25,"area":"diffusion"},{"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":"2310.15144","title":"DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design","created":"2023-10-23","cited_by_count":17,"area":null},{"id":"2402.18068","title":"SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model","created":"2024-02-28","cited_by_count":15,"area":"mllm"},{"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":"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":"2403.04321","title":"Discriminative Probing and Tuning for Text-to-Image Generation","created":"2024-03-07","cited_by_count":11,"area":null},{"id":"2408.11801","title":"Story3D-Agent: Exploring 3D Storytelling Visualization with Large Language Models","created":"2024-08-21","cited_by_count":9,"area":"agents"},{"id":"2410.22315","title":"Natural Language Inference Improves Compositionality in Vision-Language Models","created":"2024-10-29","cited_by_count":8,"area":"lr"},{"id":"2312.02249","title":"Recursive Visual Programming","created":"2023-12-04","cited_by_count":6,"area":null},{"id":"2311.10708","title":"SelfEval: Leveraging the discriminative nature of generative models for evaluation","created":"2023-11-17","cited_by_count":5,"area":"diffusion"},{"id":"2505.04670","title":"LLM Code Customization with Visual Results: A Benchmark on TikZ","created":"2025-05-07","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":"2409.15259","title":"StarVid: Enhancing Semantic Alignment in Video Diffusion Models via Spatial and SynTactic Guided Attention Refocusing","created":"2024-09-23","cited_by_count":3,"area":"diffusion"},{"id":"2403.00587","title":"Improving Explicit Spatial Relationships in Text-to-Image Generation through an Automatically Derived Dataset","created":"2024-03-01","cited_by_count":2,"area":null},{"id":"2311.18654","title":"Detailed Human-Centric Text Description-Driven Large Scene Synthesis","created":"2023-11-30","cited_by_count":1,"area":"diffusion"},{"id":"2503.17669","title":"TDRI: Two-Phase Dialogue Refinement and Co-Adaptation for Interactive Image Generation","created":"2025-03-22","cited_by_count":1,"area":null},{"id":"2504.19860","title":"CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback","created":"2025-04-28","cited_by_count":1,"area":"mllm"},{"id":"2511.06888","title":"A Two-Stage System for Layout-Controlled Image Generation using Large Language Models and Diffusion Models","created":"2025-11-10","cited_by_count":1,"area":"diffusion"},{"id":"2512.10669","title":"Learning by Analogy: A Causal Framework for Composition Generalization","created":"2025-12-11","cited_by_count":1,"area":null},{"id":"2603.29301","title":"Self-Consistency for LLM-Based Motion Trajectory Generation and Verification","created":"2026-03-31","cited_by_count":1,"area":"lr"},{"id":"2607.16409","title":"Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models","created":"2026-07-17","cited_by_count":1,"area":"lr"},{"id":"2609.06758","title":"Agentic Visual Generation: From Generative Models to Agentic Control","created":"2026-09-06","cited_by_count":1,"area":"agents"},{"id":"2504.08714","title":"Generating Fine Details of Entity Interactions","created":"2025-04-11","cited_by_count":0,"area":null},{"id":"2610.14397","title":"RealityBench: Simulated Environments to Evaluate a Vision Language Model's Ability to Document Human Physical Work","created":"2026-10-09","cited_by_count":0,"area":"mllm"}],"next_cursor":null}