{"total":37,"rows":[{"id":"2307.11410","title":"Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning","created":"2023-07-21","cited_by_count":191,"area":"diffusion"},{"id":"2311.16933","title":"SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models","created":"2023-11-28","cited_by_count":175,"area":"diffusion"},{"id":"2306.08877","title":"Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment","created":"2023-06-15","cited_by_count":171,"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":"2305.13921","title":"Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models","created":"2023-05-23","cited_by_count":83,"area":"diffusion"},{"id":"2403.04279","title":"Controllable Generation with Text-to-Image Diffusion Models: A Survey","created":"2024-03-07","cited_by_count":83,"area":"diffusion"},{"id":"2401.12244","title":"Large-scale Reinforcement Learning for Diffusion Models","created":"2024-01-20","cited_by_count":78,"area":"diffusion"},{"id":"2312.06059","title":"CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models","created":"2023-12-11","cited_by_count":54,"area":"diffusion"},{"id":"2407.02482","title":"Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models","created":"2024-07-02","cited_by_count":54,"area":"diffusion"},{"id":"2310.16656","title":"A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation","created":"2023-10-25","cited_by_count":41,"area":"diffusion"},{"id":"2305.13308","title":"If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection","created":"2023-05-22","cited_by_count":40,"area":"diffusion"},{"id":"2505.20353","title":"FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation","created":"2025-05-26","cited_by_count":24,"area":"diffusion"},{"id":"2309.04399","title":"MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask","created":"2023-09-08","cited_by_count":17,"area":"diffusion"},{"id":"2312.06038","title":"Correcting Diffusion Generation through Resampling","created":"2023-12-10","cited_by_count":15,"area":"diffusion"},{"id":"2305.10722","title":"Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners","created":"2023-05-18","cited_by_count":14,"area":"diffusion"},{"id":"2407.06182","title":"Compositional Video Generation as Flow Equalization","created":"2024-06-10","cited_by_count":12,"area":"diffusion"},{"id":"2412.01244","title":"Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization","created":"2024-12-02","cited_by_count":11,"area":"diffusion"},{"id":"2503.22168","title":"Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis","created":"2025-03-28","cited_by_count":10,"area":"diffusion"},{"id":"2410.20972","title":"Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!","created":"2024-10-28","cited_by_count":9,"area":"diffusion"},{"id":"2403.09240","title":"XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model","created":"2024-03-14","cited_by_count":8,"area":"diffusion"},{"id":"2405.20759","title":"Information Theoretic Text-to-Image Alignment","created":"2024-05-31","cited_by_count":8,"area":"diffusion"},{"id":"2309.09466","title":"Progressive Text-to-Image Diffusion with Soft Latent Direction","created":"2023-09-18","cited_by_count":6,"area":"diffusion"},{"id":"2403.16954","title":"Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance","created":"2024-03-25","cited_by_count":6,"area":"diffusion"},{"id":"2405.00791","title":"Obtaining Favorable Layouts for Multiple Object Generation","created":"2024-05-01","cited_by_count":4,"area":"diffusion"},{"id":"2407.09672","title":"Mixed-View Panorama Synthesis using Geospatially Guided Diffusion","created":"2024-07-12","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":"2409.10597","title":"Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection","created":"2024-09-16","cited_by_count":3,"area":"diffusion"},{"id":"2411.15084","title":"Leapfrog Latent Consistency Model (LLCM) for Medical Images Generation","created":"2024-11-22","cited_by_count":3,"area":"diffusion"},{"id":"2509.02295","title":"Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image","created":"2025-09-02","cited_by_count":3,"area":"diffusion"},{"id":"2406.18893","title":"AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models","created":"2024-06-27","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":"2505.03261","title":"DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor","created":"2025-05-06","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":"2503.01667","title":"ToLo: A Two-Stage, Training-Free Layout-To-Image Generation Framework For High-Overlap Layouts","created":"2025-03-03","cited_by_count":0,"area":"diffusion"},{"id":"2505.13740","title":"Improving Compositional Generation with Diffusion Models Using Lift Scores","created":"2025-05-19","cited_by_count":0,"area":"diffusion"},{"id":"2604.20354","title":"Hallucination Early Detection in Diffusion Models","created":"2026-04-22","cited_by_count":0,"area":"diffusion"},{"id":"2608.14172","title":"Concept Guidance: Precise, Training-Free Latent Control for Text-to-Image Generation","created":"2026-08-14","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}