{"total":149,"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":"2506.15564","title":"Show-o2: Improved Native Unified Multimodal Models","created":"2025-06-18","cited_by_count":250,"area":"diffusion"},{"id":"2402.03290","title":"InstanceDiffusion: Instance-level Control for Image Generation","created":"2024-02-05","cited_by_count":175,"area":"diffusion"},{"id":"2404.07987","title":"ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback","created":"2024-04-11","cited_by_count":154,"area":"diffusion"},{"id":"2404.04650","title":"InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization","created":"2024-04-06","cited_by_count":123,"area":"diffusion"},{"id":"2311.16090","title":"Self-correcting LLM-controlled Diffusion Models","created":"2023-11-27","cited_by_count":113,"area":"diffusion"},{"id":"2412.20413","title":"EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers","created":"2024-12-29","cited_by_count":95,"area":"diffusion"},{"id":"2312.07536","title":"FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition","created":"2023-12-12","cited_by_count":91,"area":"diffusion"},{"id":"2401.00896","title":"TrailBlazer: Trajectory Control for Diffusion-Based Video Generation","created":"2023-12-31","cited_by_count":91,"area":"diffusion"},{"id":"2309.17444","title":"LLM-grounded Video Diffusion Models","created":"2023-09-29","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":"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":"2407.04842","title":"MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?","created":"2024-07-05","cited_by_count":66,"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":"2310.01107","title":"Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models","created":"2023-10-02","cited_by_count":59,"area":"diffusion"},{"id":"2404.05384","title":"Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance","created":"2024-04-08","cited_by_count":59,"area":"diffusion"},{"id":"2403.11627","title":"LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models","created":"2024-03-18","cited_by_count":55,"area":"diffusion"},{"id":"2404.02747","title":"Faster Diffusion via Temporal Attention Decomposition","created":"2024-04-03","cited_by_count":54,"area":"diffusion"},{"id":"2410.05677","title":"T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design","created":"2024-10-08","cited_by_count":54,"area":"diffusion"},{"id":"2406.04277","title":"VideoTetris: Towards Compositional Text-to-Video Generation","created":"2024-06-06","cited_by_count":51,"area":"diffusion"},{"id":"2403.00644","title":"Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks","created":"2024-03-01","cited_by_count":48,"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":"2312.06135","title":"ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank","created":"2023-12-11","cited_by_count":36,"area":"diffusion"},{"id":"2309.13042","title":"MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation","created":"2023-09-22","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":"2406.09292","title":"Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models","created":"2024-06-13","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":"2401.10150","title":"Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation","created":"2024-01-18","cited_by_count":25,"area":"diffusion"},{"id":"2403.03485","title":"NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging","created":"2024-03-06","cited_by_count":25,"area":"diffusion"},{"id":"2405.14201","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","created":"2024-05-23","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":"2312.08872","title":"The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization","created":"2023-12-13","cited_by_count":23,"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":"2311.12342","title":"LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis","created":"2023-11-21","cited_by_count":21,"area":"diffusion"},{"id":"2312.11396","title":"MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance","created":"2023-12-18","cited_by_count":21,"area":"diffusion"},{"id":"2312.03517","title":"FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models","created":"2023-12-06","cited_by_count":20,"area":"diffusion"},{"id":"2406.18958","title":"AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation","created":"2024-06-27","cited_by_count":20,"area":"diffusion"},{"id":"2506.07986","title":"Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers","created":"2025-06-09","cited_by_count":20,"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":"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":"2409.08240","title":"IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation","created":"2024-09-12","cited_by_count":18,"area":"diffusion"},{"id":"2405.15199","title":"ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models","created":"2024-05-24","cited_by_count":17,"area":"diffusion"},{"id":"2407.19953","title":"FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models","created":"2024-07-29","cited_by_count":17,"area":"diffusion"},{"id":"2311.16117","title":"Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models","created":"2023-10-03","cited_by_count":16,"area":"diffusion"},{"id":"2404.11474","title":"Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt","created":"2024-04-17","cited_by_count":16,"area":"diffusion"},{"id":"2411.16810","title":"Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observation","created":"2024-11-25","cited_by_count":16,"area":"diffusion"},{"id":"2411.18936","title":"Self-Cross Diffusion Guidance for Text-to-Image Synthesis of Similar Subjects","created":"2024-11-28","cited_by_count":16,"area":"diffusion"},{"id":"2411.10913","title":"Generating Compositional Scenes via Text-to-image RGBA Instance Generation","created":"2024-11-16","cited_by_count":14,"area":"diffusion"},{"id":"2312.05849","title":"InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models","created":"2023-12-10","cited_by_count":13,"area":"diffusion"},{"id":"2503.11122","title":"DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation","created":"2025-03-14","cited_by_count":13,"area":"diffusion"},{"id":"2407.06109","title":"PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models","created":"2024-07-08","cited_by_count":12,"area":"diffusion"},{"id":"2409.04801","title":"SpotActor: Training-Free Layout-Controlled Consistent Image Generation","created":"2024-09-07","cited_by_count":12,"area":"diffusion"},{"id":"2407.13609","title":"Training-free Composite Scene Generation for Layout-to-Image Synthesis","created":"2024-07-18","cited_by_count":11,"area":"diffusion"},{"id":"2503.20644","title":"MMGen: Unified Multi-modal Image Generation and Understanding in One Go","created":"2025-03-26","cited_by_count":11,"area":"diffusion"},{"id":"2508.07647","title":"LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering","created":"2025-08-11","cited_by_count":11,"area":"diffusion"},{"id":"2404.13766","title":"Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control","created":"2024-04-21","cited_by_count":10,"area":"diffusion"},{"id":"2505.21488","title":"Be Decisive: Noise-Induced Layouts for Multi-Subject Generation","created":"2025-05-27","cited_by_count":10,"area":"diffusion"},{"id":"2509.16691","title":"InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention","created":"2025-09-20","cited_by_count":10,"area":"diffusion"},{"id":"2312.00375","title":"Text-Guided 3D Face Synthesis -- From Generation to Editing","created":"2023-12-01","cited_by_count":9,"area":"diffusion"},{"id":"2401.16762","title":"Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization","created":"2024-01-30","cited_by_count":9,"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":"2404.13899","title":"Towards Better Text-to-Image Generation Alignment via Attention Modulation","created":"2024-04-22","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":"2411.17949","title":"ROICtrl: Boosting Instance Control for Visual Generation","created":"2024-11-27","cited_by_count":9,"area":"diffusion"},{"id":"2503.06419","title":"Consistent Image Layout Editing with Diffusion Models","created":"2025-03-09","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":"2412.02332","title":"SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models","created":"2024-12-03","cited_by_count":8,"area":"diffusion"},{"id":"2505.18766","title":"StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations","created":"2025-05-24","cited_by_count":8,"area":"diffusion"},{"id":"2503.06684","title":"PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation","created":"2025-03-09","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":"2503.18950","title":"Target-Aware Video Diffusion Models","created":"2025-03-24","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":"2603.12749","title":"SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking","created":"2026-03-13","cited_by_count":7,"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":"2403.20249","title":"Relation Rectification in Diffusion Model","created":"2024-03-29","cited_by_count":6,"area":"diffusion"},{"id":"2404.14768","title":"Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided Diffusion","created":"2024-04-23","cited_by_count":6,"area":"diffusion"},{"id":"2405.14101","title":"Enhancing Image Layout Control with Loss-Guided Diffusion Models","created":"2024-05-23","cited_by_count":6,"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":"2507.11554","title":"Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models","created":"2025-07-14","cited_by_count":6,"area":"diffusion"},{"id":"2511.07934","title":"Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers","created":"2025-11-11","cited_by_count":6,"area":"diffusion"},{"id":"2509.25940","title":"Steer Away From Mode Collisions: Improving Composition In Diffusion Models","created":"2025-09-30","cited_by_count":5,"area":"diffusion"},{"id":"2401.17547","title":"Diffusion Model Compression for Image-to-Image Translation","created":"2024-01-31","cited_by_count":4,"area":"diffusion"},{"id":"2402.11487","title":"Visual Concept-driven Image Generation with Text-to-Image Diffusion Model","created":"2024-02-18","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":"2411.10495","title":"Training-Free Layout-to-Image Generation with Marginal Attention Constraints","created":"2024-11-15","cited_by_count":4,"area":"diffusion"},{"id":"2411.16749","title":"AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks","created":"2024-11-24","cited_by_count":4,"area":"diffusion"},{"id":"2504.03738","title":"Attention in Diffusion Model: A Survey","created":"2025-04-01","cited_by_count":4,"area":"diffusion"},{"id":"2508.10931","title":"VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign Flip","created":"2025-08-11","cited_by_count":4,"area":"diffusion"},{"id":"2508.14440","title":"MUSE: Multi-Subject Unified Synthesis via Explicit Layout Semantic Expansion","created":"2025-08-20","cited_by_count":4,"area":"diffusion"},{"id":"2407.15488","title":"DiffX: Guide Your Layout to Cross-Modal Generative Modeling","created":"2024-07-22","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":"2411.15084","title":"Leapfrog Latent Consistency Model (LLCM) for Medical Images Generation","created":"2024-11-22","cited_by_count":3,"area":"diffusion"},{"id":"2412.03255","title":"DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation","created":"2024-12-04","cited_by_count":3,"area":"diffusion"},{"id":"2502.13234","title":"MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching","created":"2025-02-18","cited_by_count":3,"area":"diffusion"},{"id":"2505.04347","title":"CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion","created":"2025-05-07","cited_by_count":3,"area":"diffusion"},{"id":"2505.20909","title":"Create Anything Anywhere: Layout-Controllable Personalized Diffusion Model for Multiple Subjects","created":"2025-05-27","cited_by_count":3,"area":"diffusion"},{"id":"2509.16447","title":"Local Mechanisms of Compositional Generalization in Conditional Diffusion","created":"2025-09-19","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":"2510.00635","title":"Erased, But Not Forgotten: Erased Rectified Flow Transformers Still Remain Unsafe Under Concept Attack","created":"2025-10-01","cited_by_count":3,"area":"diffusion"}],"next_cursor":"100"}