{"total":56,"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":"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":"2403.10983","title":"OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models","created":"2024-03-16","cited_by_count":64,"area":"diffusion"},{"id":"2311.10093","title":"The Chosen One: Consistent Characters in Text-to-Image Diffusion Models","created":"2023-11-16","cited_by_count":63,"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":"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":"2404.03620","title":"LCM-Lookahead for Encoder-based Text-to-Image Personalization","created":"2024-04-04","cited_by_count":48,"area":"diffusion"},{"id":"2310.18840","title":"Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models","created":"2023-10-28","cited_by_count":47,"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":"2405.05538","title":"A Survey on Personalized Content Synthesis with Diffusion Models","created":"2024-05-09","cited_by_count":29,"area":"diffusion"},{"id":"2308.02669","title":"ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints","created":"2023-08-03","cited_by_count":25,"area":"diffusion"},{"id":"2502.09411","title":"ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation","created":"2025-02-13","cited_by_count":21,"area":"diffusion"},{"id":"2405.17393","title":"EASI-Tex: Edge-Aware Mesh Texturing from Single Image","created":"2024-05-27","cited_by_count":20,"area":"diffusion"},{"id":"2408.05083","title":"PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control","created":"2024-07-24","cited_by_count":20,"area":"diffusion"},{"id":"2311.13833","title":"Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models","created":"2023-11-23","cited_by_count":19,"area":"diffusion"},{"id":"2405.17532","title":"ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance","created":"2024-05-27","cited_by_count":18,"area":"diffusion"},{"id":"2311.15040","title":"InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser","created":"2023-11-25","cited_by_count":17,"area":"diffusion"},{"id":"2402.08654","title":"Learning Continuous 3D Words for Text-to-Image Generation","created":"2024-02-13","cited_by_count":16,"area":"diffusion"},{"id":"2404.10267","title":"OneActor: Consistent Character Generation via Cluster-Conditioned Guidance","created":"2024-04-16","cited_by_count":15,"area":"diffusion"},{"id":"2405.06914","title":"Non-confusing Generation of Customized Concepts in Diffusion Models","created":"2024-05-11","cited_by_count":15,"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":"2310.07419","title":"Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else","created":"2023-10-11","cited_by_count":13,"area":"diffusion"},{"id":"2404.12333","title":"Customizing Text-to-Image Diffusion with Object Viewpoint Control","created":"2024-04-18","cited_by_count":13,"area":"diffusion"},{"id":"2405.14677","title":"RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance","created":"2024-05-23","cited_by_count":11,"area":"diffusion"},{"id":"2407.06642","title":"Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning","created":"2024-07-09","cited_by_count":11,"area":"diffusion"},{"id":"2408.00001","title":"Replication in Visual Diffusion Models: A Survey and Outlook","created":"2024-07-07","cited_by_count":11,"area":"diffusion"},{"id":"2312.14216","title":"DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation","created":"2023-12-21","cited_by_count":10,"area":"diffusion"},{"id":"2312.15905","title":"Cross Initialization for Personalized Text-to-Image Generation","created":"2023-12-26","cited_by_count":10,"area":"diffusion"},{"id":"2506.01929","title":"Image Generation from Contextually-Contradictory Prompts","created":"2025-06-02","cited_by_count":9,"area":"diffusion"},{"id":"2506.23690","title":"SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation","created":"2025-06-30","cited_by_count":8,"area":"diffusion"},{"id":"2309.07986","title":"Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models","created":"2023-09-14","cited_by_count":7,"area":"diffusion"},{"id":"2408.07433","title":"MagicFace: Training-free Universal-Style Human Image Customized Synthesis","created":"2024-08-14","cited_by_count":7,"area":"diffusion"},{"id":"2503.15406","title":"Visual Persona: Foundation Model for Full-Body Human Customization","created":"2025-03-19","cited_by_count":7,"area":"diffusion"},{"id":"2410.08192","title":"HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation","created":"2024-10-10","cited_by_count":6,"area":"diffusion"},{"id":"2503.10125","title":"Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation","created":"2025-03-13","cited_by_count":6,"area":"diffusion"},{"id":"2410.11208","title":"DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models","created":"2024-10-15","cited_by_count":5,"area":"diffusion"},{"id":"2503.13576","title":"A Comprehensive Survey on Visual Concept Mining in Text-to-image Diffusion Models","created":"2025-03-17","cited_by_count":5,"area":"diffusion"},{"id":"2411.19390","title":"DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models","created":"2024-11-28","cited_by_count":4,"area":"diffusion"},{"id":"2312.17234","title":"Personalized Restoration via Dual-Pivot Tuning","created":"2023-12-28","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":"2507.02687","title":"APT: Adaptive Personalized Training for Diffusion Models with Limited Data","created":"2025-07-03","cited_by_count":3,"area":"diffusion"},{"id":"2408.13395","title":"Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing","created":"2024-08-23","cited_by_count":2,"area":"diffusion"},{"id":"2502.09064","title":"StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models","created":"2025-02-13","cited_by_count":2,"area":"diffusion"},{"id":"2509.06027","title":"DreamAudio: Customized Text-to-Audio Generation with Diffusion Models","created":"2025-09-07","cited_by_count":2,"area":"diffusion"},{"id":"2408.04785","title":"BRAT: Bonus oRthogonAl Token for Architecture Agnostic Textual Inversion","created":"2024-08-08","cited_by_count":1,"area":"diffusion"},{"id":"2503.14868","title":"Efficient Personalization of Quantized Diffusion Model without Backpropagation","created":"2025-03-19","cited_by_count":1,"area":"diffusion"},{"id":"2510.20512","title":"Adversarial Concept Distillation for One-Step Diffusion Personalization","created":"2025-10-23","cited_by_count":1,"area":"diffusion"},{"id":"2607.00766","title":"Decoupled Guidance: Disentangling Subject and Context Pathways in Text-to-Image Personalization","created":"2026-07-01","cited_by_count":1,"area":"diffusion"},{"id":"2409.08248","title":"TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation","created":"2024-09-12","cited_by_count":0,"area":"diffusion"},{"id":"2506.00607","title":"Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models","created":"2025-05-31","cited_by_count":0,"area":"diffusion"},{"id":"2508.11476","title":"SPG: Style-Prompting Guidance for Style-Specific Content Creation","created":"2025-08-15","cited_by_count":0,"area":"diffusion"},{"id":"2512.02794","title":"PhyCustom: Towards Realistic Physical Customization in Text-to-Image Generation","created":"2025-12-01","cited_by_count":0,"area":"diffusion"},{"id":"2512.03964","title":"Training for Identity, Inference for Controllability: A Unified Approach to Tuning-Free Face Personalization","created":"2025-12-03","cited_by_count":0,"area":"diffusion"},{"id":"2601.18585","title":"GimmBO: Interactive Generative Image Model Merging via Bayesian Optimization","created":"2026-01-26","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}