{"total":261,"rows":[{"id":"2307.09481","title":"AnyDoor: Zero-shot Object-level Image Customization","created":"2023-07-18","cited_by_count":412,"area":"diffusion"},{"id":"2312.04461","title":"PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding","created":"2023-12-07","cited_by_count":328,"area":null},{"id":"2306.14435","title":"DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing","created":"2023-06-26","cited_by_count":294,"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":"2402.17525","title":"Diffusion Model-Based Image Editing: A Survey","created":"2024-02-27","cited_by_count":212,"area":"diffusion"},{"id":"2311.13600","title":"ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs","created":"2023-11-22","cited_by_count":194,"area":null},{"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":"2312.04433","title":"DreamVideo: Composing Your Dream Videos with Customized Subject and Motion","created":"2023-12-07","cited_by_count":188,"area":"diffusion"},{"id":"2404.13628","title":"Mixture of LoRA Experts","created":"2024-04-21","cited_by_count":181,"area":null},{"id":"2310.08465","title":"MotionDirector: Motion Customization of Text-to-Video Diffusion Models","created":"2023-10-12","cited_by_count":173,"area":"diffusion"},{"id":"2403.07420","title":"DragAnything: Motion Control for Anything using Entity Representation","created":"2024-03-12","cited_by_count":159,"area":null},{"id":"2406.07209","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","created":"2024-06-11","cited_by_count":144,"area":null},{"id":"2403.14572","title":"Implicit Style-Content Separation using B-LoRA","created":"2024-03-21","cited_by_count":135,"area":null},{"id":"2310.07204","title":"State of the Art on Diffusion Models for Visual Computing","created":"2023-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2402.03286","title":"Training-Free Consistent Text-to-Image Generation","created":"2024-02-05","cited_by_count":125,"area":null},{"id":"2308.06160","title":"DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models","created":"2023-08-11","cited_by_count":123,"area":"diffusion"},{"id":"2309.14859","title":"Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation","created":"2023-09-26","cited_by_count":109,"area":"diffusion"},{"id":"2312.00845","title":"VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models","created":"2023-12-01","cited_by_count":86,"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":"2401.09962","title":"CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects","created":"2024-01-18","cited_by_count":77,"area":"diffusion"},{"id":"2312.02432","title":"Orthogonal Adaptation for Modular Customization of Diffusion Models","created":"2023-12-05","cited_by_count":70,"area":"diffusion"},{"id":"2312.02087","title":"VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence","created":"2023-12-04","cited_by_count":69,"area":"diffusion"},{"id":"2407.11046","title":"A Survey on LoRA of Large Language Models","created":"2024-07-08","cited_by_count":67,"area":null},{"id":"2406.07547","title":"Zero-shot Image Editing with Reference Imitation","created":"2024-06-11","cited_by_count":65,"area":null},{"id":"2403.10983","title":"OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models","created":"2024-03-16","cited_by_count":64,"area":"diffusion"},{"id":"2408.13239","title":"CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities","created":"2024-08-23","cited_by_count":60,"area":null},{"id":"2402.09368","title":"Magic-Me: Identity-Specific Video Customized Diffusion","created":"2024-02-14","cited_by_count":59,"area":null},{"id":"2411.19417","title":"Any-Resolution AI-Generated Image Detection by Spectral Learning","created":"2024-11-28","cited_by_count":57,"area":null},{"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":"2405.16537","title":"I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models","created":"2024-05-26","cited_by_count":55,"area":"diffusion"},{"id":"2410.13025","title":"LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks","created":"2024-10-16","cited_by_count":52,"area":null},{"id":"2501.12224","title":"TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space","created":"2025-01-21","cited_by_count":52,"area":"diffusion"},{"id":"2402.05195","title":"$\\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space","created":"2024-02-07","cited_by_count":51,"area":"diffusion"},{"id":"2404.11565","title":"MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation","created":"2024-04-17","cited_by_count":51,"area":"diffusion"},{"id":"2405.13870","title":"FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition","created":"2024-05-22","cited_by_count":49,"area":null},{"id":"2502.18461","title":"K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs","created":"2025-02-25","cited_by_count":48,"area":null},{"id":"2408.05939","title":"UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization","created":"2024-08-12","cited_by_count":47,"area":null},{"id":"2404.14239","title":"MultiBooth: Towards Generating All Your Concepts in an Image from Text","created":"2024-04-22","cited_by_count":45,"area":null},{"id":"2501.13787","title":"Parameter-Efficient Fine-Tuning for Foundation Models","created":"2025-01-23","cited_by_count":45,"area":null},{"id":"2409.17920","title":"Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation","created":"2024-09-26","cited_by_count":43,"area":null},{"id":"2410.13830","title":"DreamVideo-2: Zero-Shot Subject-Driven Video Customization with Precise Motion Control","created":"2024-10-17","cited_by_count":43,"area":null},{"id":"2401.01827","title":"Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions","created":"2024-01-03","cited_by_count":42,"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":"2311.11243","title":"AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort","created":"2023-11-19","cited_by_count":38,"area":null},{"id":"2501.00365","title":"Low-Rank Adaptation for Foundation Models: A Comprehensive Review","created":"2024-12-31","cited_by_count":37,"area":null},{"id":"2405.01536","title":"Customizing Text-to-Image Models with a Single Image Pair","created":"2024-05-02","cited_by_count":36,"area":null},{"id":"2411.15262","title":"MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation","created":"2024-11-22","cited_by_count":36,"area":"diffusion"},{"id":"2502.06805","title":"Efficient Diffusion Models: A Survey","created":"2025-02-03","cited_by_count":35,"area":"diffusion"},{"id":"2404.04243","title":"Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models","created":"2024-04-05","cited_by_count":33,"area":"diffusion"},{"id":"2410.17594","title":"How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?","created":"2024-10-23","cited_by_count":33,"area":"diffusion"},{"id":"2411.04925","title":"StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration","created":"2024-11-07","cited_by_count":31,"area":null},{"id":"2404.19427","title":"InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation","created":"2024-04-30","cited_by_count":30,"area":null},{"id":"2405.05538","title":"A Survey on Personalized Content Synthesis with Diffusion Models","created":"2024-05-09","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":"2502.07802","title":"Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts","created":"2025-02-04","cited_by_count":29,"area":null},{"id":"2401.13974","title":"BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models","created":"2024-01-25","cited_by_count":27,"area":"diffusion"},{"id":"2404.05268","title":"MC$^2$: Multi-concept Guidance for Customized Multi-concept Generation","created":"2024-04-08","cited_by_count":26,"area":null},{"id":"2403.19137","title":"CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models","created":"2024-03-28","cited_by_count":25,"area":"mllm"},{"id":"2404.03913","title":"Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models","created":"2024-04-05","cited_by_count":23,"area":null},{"id":"2503.12590","title":"Personalize Anything for Free with Diffusion Transformer","created":"2025-03-16","cited_by_count":23,"area":"diffusion"},{"id":"2405.13952","title":"Spectral Adapter: Fine-Tuning in Spectral Space","created":"2024-05-22","cited_by_count":21,"area":null},{"id":"2307.09756","title":"Generative Prompt Model for Weakly Supervised Object Localization","created":"2023-07-19","cited_by_count":20,"area":null},{"id":"2405.12796","title":"DisenStudio: Customized Multi-subject Text-to-Video Generation with Disentangled Spatial Control","created":"2024-05-21","cited_by_count":20,"area":null},{"id":"2406.01388","title":"AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation","created":"2024-06-03","cited_by_count":20,"area":null},{"id":"2412.09622","title":"LoRACLR: Contrastive Adaptation for Customization of Diffusion Models","created":"2024-12-12","cited_by_count":20,"area":"diffusion"},{"id":"2502.13081","title":"Personalized Image Generation with Deep Generative Models: A Decade Survey","created":"2025-02-18","cited_by_count":20,"area":null},{"id":"2506.03133","title":"PoLAR: Polar-Decomposed Low-Rank Adapter Representation","created":"2025-06-03","cited_by_count":20,"area":null},{"id":"2412.05148","title":"LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation","created":"2024-12-06","cited_by_count":19,"area":null},{"id":"2506.10540","title":"AniMaker: Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation","created":"2025-06-12","cited_by_count":19,"area":null},{"id":"2412.03177","title":"PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation","created":"2024-12-04","cited_by_count":18,"area":null},{"id":"2412.07589","title":"DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation","created":"2024-12-10","cited_by_count":18,"area":"mllm"},{"id":"2406.13175","title":"Sparse High Rank Adapters","created":"2024-06-19","cited_by_count":17,"area":null},{"id":"2412.03347","title":"DIVE: Taming DINO for Subject-Driven Video Editing","created":"2024-12-04","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":"2503.21781","title":"VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models","created":"2025-03-27","cited_by_count":17,"area":"diffusion"},{"id":"2311.00990","title":"VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning on Language-Video Foundation Models","created":"2023-11-02","cited_by_count":16,"area":null},{"id":"2311.18158","title":"HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation","created":"2023-11-30","cited_by_count":16,"area":"diffusion"},{"id":"2402.10208","title":"Recovering the Pre-Fine-Tuning Weights of Generative Models","created":"2024-02-15","cited_by_count":16,"area":null},{"id":"2408.09744","title":"RealCustom++: Representing Images as Real Textual Word for Real-Time Customization","created":"2024-08-19","cited_by_count":16,"area":null},{"id":"2501.09503","title":"AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation","created":"2025-01-16","cited_by_count":16,"area":null},{"id":"2503.19557","title":"Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusion","created":"2025-03-25","cited_by_count":16,"area":null},{"id":"2306.14153","title":"DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data","created":"2023-06-25","cited_by_count":15,"area":"diffusion"},{"id":"2406.08798","title":"FouRA: Fourier Low Rank Adaptation","created":"2024-06-13","cited_by_count":15,"area":"diffusion"},{"id":"2410.18965","title":"On the Crucial Role of Initialization for Matrix Factorization","created":"2024-10-24","cited_by_count":15,"area":null},{"id":"2410.05591","title":"TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation","created":"2024-10-08","cited_by_count":14,"area":"diffusion"},{"id":"2410.13370","title":"MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models","created":"2024-10-17","cited_by_count":14,"area":"diffusion"},{"id":"2501.01424","title":"Object-level Visual Prompts for Compositional Image Generation","created":"2025-01-02","cited_by_count":14,"area":"diffusion"},{"id":"2312.08768","title":"Local Conditional Controlling for Text-to-Image Diffusion Models","created":"2023-12-14","cited_by_count":13,"area":"diffusion"},{"id":"2505.18612","title":"Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter","created":"2025-05-24","cited_by_count":13,"area":"moe"},{"id":"2409.18314","title":"Realistic Evaluation of Model Merging for Compositional Generalization","created":"2024-09-26","cited_by_count":12,"area":null},{"id":"2505.23758","title":"LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers","created":"2025-05-29","cited_by_count":12,"area":"diffusion"},{"id":"2402.17412","title":"DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models","created":"2024-02-27","cited_by_count":11,"area":"diffusion"},{"id":"2411.13632","title":"ID-Patch: Robust ID Association for Group Photo Personalization","created":"2024-11-20","cited_by_count":11,"area":null},{"id":"2411.15231","title":"IterIS: Iterative Inference-Solving Alignment for LoRA Merging","created":"2024-11-21","cited_by_count":11,"area":null},{"id":"2503.07661","title":"Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy","created":"2025-03-08","cited_by_count":11,"area":null},{"id":"2312.15905","title":"Cross Initialization for Personalized Text-to-Image Generation","created":"2023-12-26","cited_by_count":10,"area":"diffusion"},{"id":"2403.15059","title":"MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration","created":"2024-03-22","cited_by_count":10,"area":"diffusion"},{"id":"2403.19776","title":"Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation","created":"2024-03-28","cited_by_count":10,"area":null},{"id":"2404.16612","title":"MuseumMaker: Continual Style Customization without Catastrophic Forgetting","created":"2024-04-25","cited_by_count":10,"area":null},{"id":"2405.04496","title":"Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing","created":"2024-05-07","cited_by_count":10,"area":"diffusion"}],"next_cursor":"100"}