{"total":59,"rows":[{"id":"2307.04725","title":"AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning","created":"2023-07-10","cited_by_count":1433,"area":"diffusion"},{"id":"2307.09481","title":"AnyDoor: Zero-shot Object-level Image Customization","created":"2023-07-18","cited_by_count":412,"area":"diffusion"},{"id":"2305.18292","title":"Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models","created":"2023-05-29","cited_by_count":261,"area":"diffusion"},{"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":"2310.07204","title":"State of the Art on Diffusion Models for Visual Computing","created":"2023-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2312.00777","title":"VideoBooth: Diffusion-based Video Generation with Image Prompts","created":"2023-12-01","cited_by_count":126,"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":"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":"2306.00926","title":"Inserting Anybody in Diffusion Models via Celeb Basis","created":"2023-06-01","cited_by_count":63,"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":"2402.09812","title":"DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization","created":"2024-02-15","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":"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":"2404.03620","title":"LCM-Lookahead for Encoder-based Text-to-Image Personalization","created":"2024-04-04","cited_by_count":48,"area":"diffusion"},{"id":"2403.07764","title":"Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model","created":"2024-03-12","cited_by_count":45,"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":"2403.13535","title":"IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models","created":"2024-03-20","cited_by_count":32,"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":"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":"2308.00303","title":"Diffusion Model for Camouflaged Object Detection","created":"2023-08-01","cited_by_count":27,"area":"diffusion"},{"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":"2403.12658","title":"Tuning-Free Image Customization with Image and Text Guidance","created":"2024-03-19","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":"2306.00971","title":"ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation","created":"2023-06-01","cited_by_count":23,"area":"diffusion"},{"id":"2411.07126","title":"Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models","created":"2024-11-11","cited_by_count":23,"area":"diffusion"},{"id":"2412.09622","title":"LoRACLR: Contrastive Adaptation for Customization of Diffusion Models","created":"2024-12-12","cited_by_count":20,"area":"diffusion"},{"id":"2407.07077","title":"ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction","created":"2024-07-09","cited_by_count":16,"area":"diffusion"},{"id":"2403.11284","title":"Fast Personalized Text-to-Image Syntheses With Attention Injection","created":"2024-03-17","cited_by_count":15,"area":"diffusion"},{"id":"2409.16535","title":"Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models","created":"2024-09-25","cited_by_count":15,"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":"2505.23758","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":"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":"2312.15905","title":"Cross Initialization for Personalized Text-to-Image Generation","created":"2023-12-26","cited_by_count":10,"area":"diffusion"},{"id":"2406.05641","title":"PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction","created":"2024-06-09","cited_by_count":10,"area":"diffusion"},{"id":"2312.00079","title":"HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models","created":"2023-11-30","cited_by_count":9,"area":"diffusion"},{"id":"2312.17161","title":"Restoration by Generation with Constrained Priors","created":"2023-12-28","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":"2410.00398","title":"CusConcept: Customized Visual Concept Decomposition with Diffusion Models","created":"2024-10-01","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":"2311.17461","title":"When StyleGAN Meets Stable Diffusion: a $\\mathscr{W}_+$ Adapter for Personalized Image Generation","created":"2023-11-29","cited_by_count":6,"area":"diffusion"},{"id":"2405.17965","title":"AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization","created":"2024-05-28","cited_by_count":6,"area":"diffusion"},{"id":"2408.14135","title":"Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models","created":"2024-08-26","cited_by_count":4,"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":"2510.05715","title":"AgeBooth: Controllable Facial Aging and Rejuvenation via Diffusion Models","created":"2025-10-07","cited_by_count":3,"area":"diffusion"},{"id":"2402.11849","title":"ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image","created":"2024-02-19","cited_by_count":2,"area":"diffusion"},{"id":"2405.05806","title":"MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation","created":"2024-05-09","cited_by_count":2,"area":"diffusion"},{"id":"2503.12953","title":"Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction","created":"2025-03-17","cited_by_count":2,"area":"diffusion"},{"id":"2507.07591","title":"Stable-Hair v2: Real-World Hair Transfer via Multiple-View Diffusion Model","created":"2025-07-10","cited_by_count":2,"area":"diffusion"},{"id":"2402.09966","title":"Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation","created":"2024-02-15","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":"2308.15854","title":"Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment","created":"2023-08-30","cited_by_count":0,"area":"diffusion"},{"id":"2503.08575","title":"Modular Customization of Diffusion Models via Blockwise-Parameterized Low-Rank Adaptation","created":"2025-03-11","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":"2602.01991","title":"Localized Control in Diffusion Models via Latent Vector Prediction","created":"2026-02-02","cited_by_count":0,"area":"diffusion"},{"id":"2603.23010","title":"Zero-Shot Personalization of Objects via Textual Inversion","created":"2026-03-24","cited_by_count":0,"area":"diffusion"},{"id":"2610.17829","title":"QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}