{"total":104,"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":"2307.10816","title":"BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion","created":"2023-07-20","cited_by_count":282,"area":"diffusion"},{"id":"2306.05427","title":"Grounded Text-to-Image Synthesis with Attention Refocusing","created":"2023-06-08","cited_by_count":164,"area":"diffusion"},{"id":"2311.16090","title":"Self-correcting LLM-controlled Diffusion Models","created":"2023-11-27","cited_by_count":113,"area":"diffusion"},{"id":"2309.17444","title":"LLM-grounded Video Diffusion Models","created":"2023-09-29","cited_by_count":83,"area":"diffusion"},{"id":"2412.00596","title":"PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation","created":"2024-11-30","cited_by_count":80,"area":"diffusion"},{"id":"2401.12244","title":"Large-scale Reinforcement Learning for Diffusion Models","created":"2024-01-20","cited_by_count":78,"area":"diffusion"},{"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":"2403.16990","title":"Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation","created":"2024-03-25","cited_by_count":69,"area":"diffusion"},{"id":"2311.12631","title":"GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning","created":"2023-11-21","cited_by_count":61,"area":"diffusion"},{"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":"2306.04542","title":"On the Design Fundamentals of Diffusion Models: A Survey","created":"2023-06-07","cited_by_count":60,"area":"diffusion"},{"id":"2412.03859","title":"CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation","created":"2024-12-05","cited_by_count":60,"area":"diffusion"},{"id":"2310.10640","title":"LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts","created":"2023-10-16","cited_by_count":54,"area":"diffusion"},{"id":"2312.02150","title":"Readout Guidance: Learning Control from Diffusion Features","created":"2023-12-04","cited_by_count":52,"area":"diffusion"},{"id":"2406.02965","title":"Understanding the Impact of Negative Prompts: When and How Do They Take Effect?","created":"2024-06-05","cited_by_count":51,"area":"diffusion"},{"id":"2406.04277","title":"VideoTetris: Towards Compositional Text-to-Video Generation","created":"2024-06-06","cited_by_count":51,"area":"diffusion"},{"id":"2406.11831","title":"Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models","created":"2024-06-17","cited_by_count":45,"area":"diffusion"},{"id":"2410.14324","title":"HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation","created":"2024-10-18","cited_by_count":41,"area":"diffusion"},{"id":"2405.16785","title":"PromptFix: You Prompt and We Fix the Photo","created":"2024-05-27","cited_by_count":40,"area":"diffusion"},{"id":"2503.01645","title":"DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models","created":"2025-03-03","cited_by_count":40,"area":"diffusion"},{"id":"2311.14284","title":"Paragraph-to-Image Generation with Information-Enriched Diffusion Model","created":"2023-11-24","cited_by_count":39,"area":"diffusion"},{"id":"2407.15861","title":"Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey","created":"2024-07-10","cited_by_count":35,"area":"diffusion"},{"id":"2410.07171","title":"IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation","created":"2024-10-09","cited_by_count":33,"area":"diffusion"},{"id":"2411.18810","title":"All Seeds Are Not Equal: Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds","created":"2024-11-27","cited_by_count":31,"area":"diffusion"},{"id":"2410.22376","title":"Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance","created":"2024-10-29","cited_by_count":30,"area":"diffusion"},{"id":"2310.08872","title":"R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation","created":"2023-10-13","cited_by_count":29,"area":"diffusion"},{"id":"2407.01606","title":"On Discrete Prompt Optimization for Diffusion Models","created":"2024-06-27","cited_by_count":29,"area":"diffusion"},{"id":"2312.03849","title":"LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning","created":"2023-12-06","cited_by_count":28,"area":"diffusion"},{"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":"2306.17567","title":"Counting Guidance for High Fidelity Text-to-Image Synthesis","created":"2023-06-30","cited_by_count":24,"area":"diffusion"},{"id":"2410.20474","title":"GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation","created":"2024-10-27","cited_by_count":24,"area":"diffusion"},{"id":"2505.02648","title":"MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation","created":"2025-05-05","cited_by_count":23,"area":"diffusion"},{"id":"2311.15773","title":"Check, Locate, Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation","created":"2023-11-27","cited_by_count":19,"area":"diffusion"},{"id":"2311.15813","title":"FlowZero: Zero-Shot Text-to-Video Synthesis with LLM-Driven Dynamic Scene Syntax","created":"2023-11-27","cited_by_count":19,"area":"diffusion"},{"id":"2404.18919","title":"TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation","created":"2024-04-29","cited_by_count":19,"area":"diffusion"},{"id":"2402.12908","title":"RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models","created":"2024-02-20","cited_by_count":18,"area":"diffusion"},{"id":"2408.14819","title":"Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation","created":"2024-08-27","cited_by_count":18,"area":"diffusion"},{"id":"2505.10046","title":"Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis","created":"2025-05-15","cited_by_count":16,"area":"diffusion"},{"id":"2312.06038","title":"Correcting Diffusion Generation through Resampling","created":"2023-12-10","cited_by_count":15,"area":"diffusion"},{"id":"2501.07647","title":"BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations","created":"2025-01-13","cited_by_count":15,"area":"diffusion"},{"id":"2507.16733","title":"Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art","created":"2025-07-22","cited_by_count":14,"area":"diffusion"},{"id":"2408.01014","title":"Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models","created":"2024-08-02","cited_by_count":12,"area":"diffusion"},{"id":"2402.12741","title":"MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion","created":"2024-02-20","cited_by_count":11,"area":"diffusion"},{"id":"2506.04158","title":"Image Editing As Programs with Diffusion Models","created":"2025-06-04","cited_by_count":10,"area":"diffusion"},{"id":"2402.17910","title":"Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models","created":"2024-02-27","cited_by_count":9,"area":"diffusion"},{"id":"2410.09009","title":"Semantic Score Distillation Sampling for Compositional Text-to-3D Generation","created":"2024-10-11","cited_by_count":9,"area":"diffusion"},{"id":"2410.23280","title":"DreamRelation: Bridging Customization and Relation Generation","created":"2024-10-30","cited_by_count":9,"area":"diffusion"},{"id":"2412.13195","title":"CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models","created":"2024-12-17","cited_by_count":7,"area":"diffusion"},{"id":"2503.16406","title":"VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness","created":"2025-03-20","cited_by_count":7,"area":"diffusion"},{"id":"2505.04718","title":"Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers","created":"2025-05-07","cited_by_count":7,"area":"diffusion"},{"id":"2408.13858","title":"Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching","created":"2024-08-25","cited_by_count":6,"area":"diffusion"},{"id":"2503.10613","title":"CoSTA$\\ast$: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing","created":"2025-03-13","cited_by_count":6,"area":"diffusion"},{"id":"2407.10856","title":"Physics-Inspired Generative Models in Medical Imaging: A Review","created":"2024-07-15","cited_by_count":5,"area":"diffusion"},{"id":"2402.16305","title":"Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion","created":"2024-02-26","cited_by_count":4,"area":"diffusion"},{"id":"2406.20085","title":"Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language","created":"2024-06-28","cited_by_count":4,"area":"diffusion"},{"id":"2410.01738","title":"VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models","created":"2024-10-02","cited_by_count":4,"area":"diffusion"},{"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":"2504.01819","title":"Implicit Bias Injection Attacks against Text-to-Image Diffusion Models","created":"2025-04-02","cited_by_count":4,"area":"diffusion"},{"id":"2505.11178","title":"CompAlign: Improving Compositional Text-to-Image Generation with a Complex Benchmark and Fine-Grained Feedback","created":"2025-05-16","cited_by_count":4,"area":"diffusion"},{"id":"2507.17853","title":"Detail++: Training-Free Detail Enhancer for T2I Diffusion Models","created":"2025-07-23","cited_by_count":4,"area":"diffusion"},{"id":"2508.16644","title":"CountLoop: Training-Free High-Instance Image Generation via Iterative Agent Guidance","created":"2025-08-18","cited_by_count":4,"area":"diffusion"},{"id":"2311.17937","title":"Unlocking Spatial Comprehension in Text-to-Image Diffusion Models","created":"2023-11-28","cited_by_count":3,"area":"diffusion"},{"id":"2402.15504","title":"Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition","created":"2024-02-23","cited_by_count":3,"area":"diffusion"},{"id":"2404.00412","title":"CraftSVG: Multi-Object Text-to-SVG Synthesis via Layout Guided Diffusion","created":"2024-03-30","cited_by_count":3,"area":"diffusion"},{"id":"2406.04337","title":"Coherent Zero-Shot Visual Instruction Generation","created":"2024-06-06","cited_by_count":3,"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":"2412.08221","title":"Generate Any Scene: Scene Graph Driven Data Synthesis for Visual Generation Training","created":"2024-12-11","cited_by_count":3,"area":"diffusion"},{"id":"2412.09614","title":"RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance","created":"2024-12-12","cited_by_count":3,"area":"diffusion"},{"id":"2509.26231","title":"IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance","created":"2025-09-30","cited_by_count":3,"area":"diffusion"},{"id":"2509.26644","title":"Stitch: Training-Free Position Control in Multimodal Diffusion Transformers","created":"2025-09-30","cited_by_count":3,"area":"diffusion"},{"id":"2405.13685","title":"Financial Models in Generative Art: Black-Scholes-Inspired Concept Blending in Text-to-Image Diffusion","created":"2024-05-22","cited_by_count":2,"area":"diffusion"},{"id":"2407.12579","title":"The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation","created":"2024-07-17","cited_by_count":2,"area":"diffusion"},{"id":"2411.05544","title":"Towards Lifelong Few-Shot Customization of Text-to-Image Diffusion","created":"2024-11-08","cited_by_count":2,"area":"diffusion"},{"id":"2412.05003","title":"SLayR: Scene Layout Generation with Rectified Flow","created":"2024-12-06","cited_by_count":2,"area":"diffusion"},{"id":"2504.10148","title":"Hierarchical and Step-Layer-Wise Tuning of Attention Specialty for Multi-Instance Synthesis in Diffusion Transformers","created":"2025-04-14","cited_by_count":2,"area":"diffusion"},{"id":"2507.13708","title":"PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement","created":"2025-07-18","cited_by_count":2,"area":"diffusion"},{"id":"2410.06841","title":"Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis","created":"2024-10-09","cited_by_count":1,"area":"diffusion"},{"id":"2410.09792","title":"Generating Intermediate Representations for Compositional Text-To-Image Generation","created":"2024-10-13","cited_by_count":1,"area":"diffusion"},{"id":"2504.13745","title":"ESPLoRA: Enhanced Spatial Precision with Low-Rank Adaption in Text-to-Image Diffusion Models for High-Definition Synthesis","created":"2025-04-18","cited_by_count":1,"area":"diffusion"},{"id":"2510.19278","title":"D2D: Detector-to-Differentiable Critic for Improved Numeracy in Text-to-Image Generation","created":"2025-10-22","cited_by_count":1,"area":"diffusion"},{"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":"2512.13290","title":"LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models","created":"2025-12-15","cited_by_count":1,"area":"diffusion"},{"id":"2512.17851","title":"InfSplign: Inference-Time Spatial Alignment of Text-to-Image Diffusion Models","created":"2025-12-19","cited_by_count":1,"area":"diffusion"},{"id":"2602.02051","title":"SIDiffAgent: Self-Improving Diffusion Agent","created":"2026-02-02","cited_by_count":1,"area":"diffusion"},{"id":"2606.13247","title":"EPIG: Emotion-Based Prompting for Personalised Image Generation","created":"2026-06-11","cited_by_count":1,"area":"diffusion"},{"id":"2409.11874","title":"ABHINAW: A method for Automatic Evaluation of Typography within AI-Generated Images","created":"2024-09-18","cited_by_count":0,"area":"diffusion"},{"id":"2411.15732","title":"DynamicAvatars: Accurate Dynamic Facial Avatars Reconstruction and Precise Editing with Diffusion Models","created":"2024-11-24","cited_by_count":0,"area":"diffusion"},{"id":"2503.21069","title":"Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing","created":"2025-03-27","cited_by_count":0,"area":"diffusion"},{"id":"2505.20808","title":"Score Replacement with Bounded Deviation for Rare Prompt Generation","created":"2025-05-27","cited_by_count":0,"area":"diffusion"},{"id":"2505.20935","title":"ISAC: Training-Free Instance-to-Semantic Attention Control for Multi-Instance Generation","created":"2025-05-27","cited_by_count":0,"area":"diffusion"},{"id":"2602.01608","title":"Reasoning with Autoregressive-Diffusion Collaborative Thoughts","created":"2026-02-02","cited_by_count":0,"area":"diffusion"},{"id":"2602.09268","title":"Rethinking Global Text Conditioning in Diffusion Transformers","created":"2026-02-09","cited_by_count":0,"area":"diffusion"},{"id":"2603.19157","title":"ADAPT: Attention Driven Adaptive Prompt Scheduling and InTerpolating Orthogonal Complements for Rare Concepts Generation","created":"2026-03-19","cited_by_count":0,"area":"diffusion"},{"id":"2603.19158","title":"Adaptive Auxiliary Prompt Blending for Target-Faithful Diffusion Generation","created":"2026-03-19","cited_by_count":0,"area":"diffusion"},{"id":"2604.14062","title":"OneHOI: Unifying Human-Object Interaction Generation and Editing","created":"2026-04-15","cited_by_count":0,"area":"diffusion"},{"id":"2604.25358","title":"Benchmarking Layout-Guided Diffusion Models through Unified Semantic-Spatial Evaluation in Closed and Open Settings","created":"2026-04-28","cited_by_count":0,"area":"diffusion"},{"id":"2605.09065","title":"Dependency-Aware Discrete Diffusion for Scene Graph Generation","created":"2026-05-09","cited_by_count":0,"area":"diffusion"},{"id":"2605.19532","title":"Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection","created":"2026-05-19","cited_by_count":0,"area":"diffusion"}],"next_cursor":"100"}