{"total":247,"rows":[{"id":"2302.08453","title":"T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models","created":"2023-02-16","cited_by_count":1351,"area":"diffusion"},{"id":"2506.15742","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","created":"2025-06-17","cited_by_count":1006,"area":"diffusion"},{"id":"2311.17117","title":"Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation","created":"2023-11-28","cited_by_count":688,"area":"diffusion"},{"id":"2307.09481","title":"AnyDoor: Zero-shot Object-level Image Customization","created":"2023-07-18","cited_by_count":412,"area":"diffusion"},{"id":"2305.15347","title":"A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence","created":"2023-05-24","cited_by_count":301,"area":"diffusion"},{"id":"2303.07909","title":"Text-to-image Diffusion Models in Generative AI: A Survey","created":"2023-03-14","cited_by_count":265,"area":"diffusion"},{"id":"2308.14469","title":"Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization","created":"2023-08-28","cited_by_count":254,"area":"diffusion"},{"id":"2303.09556","title":"Efficient Diffusion Training via Min-SNR Weighting Strategy","created":"2023-03-16","cited_by_count":246,"area":"diffusion"},{"id":"2305.10855","title":"TextDiffuser: Diffusion Models as Text Painters","created":"2023-05-18","cited_by_count":229,"area":"diffusion"},{"id":"2402.17525","title":"Diffusion Model-Based Image Editing: A Survey","created":"2024-02-27","cited_by_count":212,"area":"diffusion"},{"id":"2307.12493","title":"TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition","created":"2023-07-24","cited_by_count":182,"area":"diffusion"},{"id":"2312.01725","title":"StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On","created":"2023-12-04","cited_by_count":175,"area":"diffusion"},{"id":"2311.09257","title":"UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs","created":"2023-11-14","cited_by_count":166,"area":"diffusion"},{"id":"2404.13686","title":"Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis","created":"2024-04-21","cited_by_count":156,"area":"diffusion"},{"id":"2305.13501","title":"LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On","created":"2023-05-22","cited_by_count":152,"area":"diffusion"},{"id":"2403.01779","title":"OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on","created":"2024-03-04","cited_by_count":151,"area":"diffusion"},{"id":"2308.06101","title":"Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow","created":"2023-08-11","cited_by_count":124,"area":"diffusion"},{"id":"2311.16090","title":"Self-correcting LLM-controlled Diffusion Models","created":"2023-11-27","cited_by_count":113,"area":"diffusion"},{"id":"2411.14430","title":"Stable Flow: Vital Layers for Training-Free Image Editing","created":"2024-11-21","cited_by_count":113,"area":"diffusion"},{"id":"2403.05139","title":"Improving Diffusion Models for Authentic Virtual Try-on in the Wild","created":"2024-03-08","cited_by_count":109,"area":"diffusion"},{"id":"2407.15886","title":"CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models","created":"2024-07-21","cited_by_count":102,"area":"diffusion"},{"id":"2407.16655","title":"MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence","created":"2024-07-23","cited_by_count":89,"area":"diffusion"},{"id":"2312.03816","title":"AVID: Any-Length Video Inpainting with Diffusion Model","created":"2023-12-06","cited_by_count":82,"area":"diffusion"},{"id":"2305.16225","title":"ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models","created":"2023-05-25","cited_by_count":75,"area":"diffusion"},{"id":"2403.18818","title":"ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion","created":"2024-03-27","cited_by_count":71,"area":"diffusion"},{"id":"2302.13153","title":"Directed Diffusion: Direct Control of Object Placement through Attention Guidance","created":"2023-02-25","cited_by_count":69,"area":"diffusion"},{"id":"2312.09168","title":"DiffusionLight: Light Probes for Free by Painting a Chrome Ball","created":"2023-12-14","cited_by_count":64,"area":"diffusion"},{"id":"2306.00926","title":"Inserting Anybody in Diffusion Models via Celeb Basis","created":"2023-06-01","cited_by_count":63,"area":"diffusion"},{"id":"2305.16223","title":"Prompt-Free Diffusion: Taking \"Text\" out of Text-to-Image Diffusion Models","created":"2023-05-25","cited_by_count":62,"area":"diffusion"},{"id":"2310.07222","title":"Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model","created":"2023-10-11","cited_by_count":60,"area":"diffusion"},{"id":"2401.06578","title":"360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model","created":"2024-01-12","cited_by_count":58,"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":"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":"2311.18405","title":"CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model","created":"2023-11-30","cited_by_count":48,"area":"diffusion"},{"id":"2402.18078","title":"Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis","created":"2024-02-28","cited_by_count":48,"area":"diffusion"},{"id":"2309.00810","title":"RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model","created":"2023-09-02","cited_by_count":47,"area":"diffusion"},{"id":"2306.04632","title":"Designing a Better Asymmetric VQGAN for StableDiffusion","created":"2023-06-07","cited_by_count":45,"area":"diffusion"},{"id":"2308.10040","title":"ControlCom: Controllable Image Composition using Diffusion Model","created":"2023-08-19","cited_by_count":43,"area":"diffusion"},{"id":"2412.09856","title":"LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity","created":"2024-12-13","cited_by_count":43,"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":"2502.17157","title":"DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks","created":"2025-02-24","cited_by_count":39,"area":"diffusion"},{"id":"2503.08677","title":"OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting","created":"2025-03-11","cited_by_count":39,"area":"diffusion"},{"id":"2404.01089","title":"Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On","created":"2024-04-01","cited_by_count":38,"area":"diffusion"},{"id":"2305.18729","title":"Real-World Image Variation by Aligning Diffusion Inversion Chain","created":"2023-05-30","cited_by_count":37,"area":"diffusion"},{"id":"2303.15403","title":"Training-free Content Injection using h-space in Diffusion Models","created":"2023-03-27","cited_by_count":36,"area":"diffusion"},{"id":"2409.07269","title":"Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models","created":"2024-09-11","cited_by_count":36,"area":"diffusion"},{"id":"2303.00262","title":"Collage Diffusion","created":"2023-03-01","cited_by_count":33,"area":"diffusion"},{"id":"2312.03771","title":"DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models","created":"2023-12-05","cited_by_count":31,"area":"diffusion"},{"id":"2312.06573","title":"ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems","created":"2023-12-11","cited_by_count":30,"area":"diffusion"},{"id":"2312.01985","title":"UniGS: Unified Representation for Image Generation and Segmentation","created":"2023-12-04","cited_by_count":29,"area":"diffusion"},{"id":"2403.07234","title":"It's All About Your Sketch: Democratising Sketch Control in Diffusion Models","created":"2024-03-12","cited_by_count":29,"area":"diffusion"},{"id":"2409.19365","title":"Conditional Image Synthesis with Diffusion Models: A Survey","created":"2024-09-28","cited_by_count":29,"area":"diffusion"},{"id":"2510.02253","title":"DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing","created":"2025-10-02","cited_by_count":29,"area":"diffusion"},{"id":"2506.01949","title":"IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout","created":"2025-06-02","cited_by_count":28,"area":"diffusion"},{"id":"2312.09256","title":"LIME: Localized Image Editing via Attention Regularization in Diffusion Models","created":"2023-12-14","cited_by_count":27,"area":"diffusion"},{"id":"2403.10783","title":"StableGarment: Garment-Centric Generation via Stable Diffusion","created":"2024-03-16","cited_by_count":27,"area":"diffusion"},{"id":"2404.08926","title":"Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives","created":"2024-04-13","cited_by_count":27,"area":"diffusion"},{"id":"2302.03900","title":"Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models","created":"2023-02-08","cited_by_count":26,"area":"diffusion"},{"id":"2406.01159","title":"Dimba: Transformer-Mamba Diffusion Models","created":"2024-06-03","cited_by_count":26,"area":"diffusion"},{"id":"2503.09277","title":"UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer","created":"2025-03-12","cited_by_count":26,"area":"diffusion"},{"id":"2506.02528","title":"RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers","created":"2025-06-03","cited_by_count":26,"area":"diffusion"},{"id":"2305.11577","title":"LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model","created":"2023-05-19","cited_by_count":25,"area":"diffusion"},{"id":"2310.19784","title":"CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models","created":"2023-10-30","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":"2403.12658","title":"Tuning-Free Image Customization with Image and Text Guidance","created":"2024-03-19","cited_by_count":25,"area":"diffusion"},{"id":"2404.17364","title":"MV-VTON: Multi-View Virtual Try-On with Diffusion Models","created":"2024-04-26","cited_by_count":25,"area":"diffusion"},{"id":"2404.09401","title":"Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models","created":"2024-04-15","cited_by_count":23,"area":"diffusion"},{"id":"2310.07653","title":"Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models","created":"2023-10-11","cited_by_count":22,"area":"diffusion"},{"id":"2403.11105","title":"Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models","created":"2024-03-17","cited_by_count":22,"area":"diffusion"},{"id":"2406.01594","title":"DiffUHaul: A Training-Free Method for Object Dragging in Images","created":"2024-06-03","cited_by_count":22,"area":"diffusion"},{"id":"2406.06911","title":"AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising","created":"2024-06-11","cited_by_count":22,"area":"diffusion"},{"id":"2506.01144","title":"FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation","created":"2025-06-01","cited_by_count":22,"area":"diffusion"},{"id":"2306.07596","title":"Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model","created":"2023-06-13","cited_by_count":21,"area":"diffusion"},{"id":"2311.06792","title":"IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models","created":"2023-11-12","cited_by_count":21,"area":"diffusion"},{"id":"2406.07754","title":"HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness","created":"2024-06-11","cited_by_count":21,"area":"diffusion"},{"id":"2305.11870","title":"Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models","created":"2023-05-19","cited_by_count":20,"area":"diffusion"},{"id":"2401.02473","title":"VASE: Object-Centric Appearance and Shape Manipulation of Real Videos","created":"2024-01-04","cited_by_count":20,"area":"diffusion"},{"id":"2412.09191","title":"RAD: Region-Aware Diffusion Models for Image Inpainting","created":"2024-12-12","cited_by_count":20,"area":"diffusion"},{"id":"2312.03667","title":"WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on","created":"2023-12-06","cited_by_count":18,"area":"diffusion"},{"id":"2303.17546","title":"PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor","created":"2023-03-30","cited_by_count":17,"area":"diffusion"},{"id":"2304.09748","title":"Reference-based Image Composition with Sketch via Structure-aware Diffusion Model","created":"2023-03-31","cited_by_count":17,"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":"2403.15234","title":"Shadow Generation for Composite Image Using Diffusion model","created":"2024-03-22","cited_by_count":17,"area":"diffusion"},{"id":"2501.08332","title":"MangaNinja: Line Art Colorization with Precise Reference Following","created":"2025-01-14","cited_by_count":17,"area":"diffusion"},{"id":"2404.11120","title":"TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing","created":"2024-04-17","cited_by_count":16,"area":"diffusion"},{"id":"2407.04947","title":"FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior","created":"2024-07-06","cited_by_count":16,"area":"diffusion"},{"id":"2505.11131","title":"One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework","created":"2025-05-16","cited_by_count":16,"area":"diffusion"},{"id":"2508.14461","title":"Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering","created":"2025-08-20","cited_by_count":16,"area":"diffusion"},{"id":"2405.09985","title":"VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce Marketing","created":"2024-05-16","cited_by_count":15,"area":"diffusion"},{"id":"2407.09012","title":"TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models","created":"2024-07-12","cited_by_count":15,"area":"diffusion"},{"id":"2409.08258","title":"Improving Virtual Try-On with Garment-focused Diffusion Models","created":"2024-09-12","cited_by_count":15,"area":"diffusion"},{"id":"2505.19958","title":"UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion Space","created":"2025-05-26","cited_by_count":14,"area":"diffusion"},{"id":"2302.10167","title":"Cross-domain Compositing with Pretrained Diffusion Models","created":"2023-02-20","cited_by_count":13,"area":"diffusion"},{"id":"2312.03556","title":"Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention","created":"2023-12-06","cited_by_count":13,"area":"diffusion"},{"id":"2403.08381","title":"Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models","created":"2024-03-13","cited_by_count":13,"area":"diffusion"},{"id":"2404.01154","title":"Uncovering the Text Embedding in Text-to-Image Diffusion Models","created":"2024-04-01","cited_by_count":13,"area":"diffusion"},{"id":"2404.14162","title":"FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on","created":"2024-04-22","cited_by_count":13,"area":"diffusion"},{"id":"2404.16029","title":"Editable Image Elements for Controllable Synthesis","created":"2024-04-24","cited_by_count":13,"area":"diffusion"},{"id":"2504.08291","title":"DreamFuse: Adaptive Image Fusion with Diffusion Transformer","created":"2025-04-11","cited_by_count":13,"area":"diffusion"},{"id":"2309.04372","title":"MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers","created":"2023-09-08","cited_by_count":12,"area":"diffusion"}],"next_cursor":"100"}