{"total":169,"rows":[{"id":"2503.07598","title":"VACE: All-in-One Video Creation and Editing","created":"2025-03-10","cited_by_count":479,"area":"diffusion"},{"id":"2401.07519","title":"InstantID: Zero-shot Identity-Preserving Generation in Seconds","created":"2024-01-15","cited_by_count":436,"area":"diffusion"},{"id":"2402.17525","title":"Diffusion Model-Based Image Editing: A Survey","created":"2024-02-27","cited_by_count":212,"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":"2310.08465","title":"MotionDirector: Motion Customization of Text-to-Video Diffusion Models","created":"2023-10-12","cited_by_count":173,"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":"2310.06313","title":"Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models","created":"2023-10-10","cited_by_count":104,"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":"2312.09109","title":"VideoLCM: Video Latent Consistency Model","created":"2023-12-14","cited_by_count":92,"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":"2501.04698","title":"ConceptMaster: Multi-Concept Video Customization on Diffusion Transformer Models Without Test-Time Tuning","created":"2025-01-08","cited_by_count":68,"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":"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":"2410.00086","title":"ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer","created":"2024-09-30","cited_by_count":56,"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":"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":"2405.15330","title":"Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model","created":"2024-05-24","cited_by_count":48,"area":"diffusion"},{"id":"2407.12899","title":"DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion","created":"2024-07-17","cited_by_count":47,"area":"diffusion"},{"id":"2407.07111","title":"Diffusion Model-Based Video Editing: A Survey","created":"2024-06-26","cited_by_count":44,"area":"diffusion"},{"id":"2410.16942","title":"DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization","created":"2024-10-22","cited_by_count":43,"area":"diffusion"},{"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":"2405.11794","title":"ViViD: Video Virtual Try-on using Diffusion Models","created":"2024-05-20","cited_by_count":42,"area":"diffusion"},{"id":"2403.11781","title":"Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm","created":"2024-03-18","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":"2505.19114","title":"CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design","created":"2025-05-25","cited_by_count":36,"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":"2312.03771","title":"DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models","created":"2023-12-05","cited_by_count":31,"area":"diffusion"},{"id":"2312.01985","title":"UniGS: Unified Representation for Image Generation and Segmentation","created":"2023-12-04","cited_by_count":29,"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":"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":"2403.10783","title":"StableGarment: Garment-Centric Generation via Stable Diffusion","created":"2024-03-16","cited_by_count":27,"area":"diffusion"},{"id":"2411.16819","title":"Pathways on the Image Manifold: Image Editing via Video Generation","created":"2024-11-25","cited_by_count":27,"area":"diffusion"},{"id":"2509.17818","title":"ContextFlow: Training-Free Video Object Editing via Adaptive Context Enrichment","created":"2025-09-22","cited_by_count":27,"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":"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":"2403.12658","title":"Tuning-Free Image Customization with Image and Text Guidance","created":"2024-03-19","cited_by_count":25,"area":"diffusion"},{"id":"2404.15677","title":"CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models","created":"2024-04-24","cited_by_count":24,"area":"diffusion"},{"id":"2503.12590","title":"Personalize Anything for Free with Diffusion Transformer","created":"2025-03-16","cited_by_count":23,"area":"diffusion"},{"id":"2407.10625","title":"WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models","created":"2024-07-15","cited_by_count":22,"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":"2312.05288","title":"MotionCrafter: One-Shot Motion Customization of Diffusion Models","created":"2023-12-08","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":"2412.09622","title":"LoRACLR: Contrastive Adaptation for Customization of Diffusion Models","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":"2501.08332","title":"MangaNinja: Line Art Colorization with Precise Reference Following","created":"2025-01-14","cited_by_count":17,"area":"diffusion"},{"id":"2505.08889","title":"IntrinsicEdit: Precise generative image manipulation in intrinsic space","created":"2025-05-13","cited_by_count":17,"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":"2411.10913","title":"Generating Compositional Scenes via Text-to-image RGBA Instance Generation","created":"2024-11-16","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":"2501.08225","title":"FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors","created":"2025-01-14","cited_by_count":13,"area":"diffusion"},{"id":"2503.09344","title":"Unified Dense Prediction of Video Diffusion","created":"2025-03-12","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":"2506.10507","title":"Edit360: 2D Image Edits to 3D Assets from Any Angle","created":"2025-06-12","cited_by_count":13,"area":"diffusion"},{"id":"2402.01516","title":"Cross-view Masked Diffusion Transformers for Person Image Synthesis","created":"2024-02-02","cited_by_count":12,"area":"diffusion"},{"id":"2403.11503","title":"Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors","created":"2024-03-18","cited_by_count":12,"area":"diffusion"},{"id":"2404.07178","title":"Move Anything with Layered Scene Diffusion","created":"2024-04-10","cited_by_count":12,"area":"diffusion"},{"id":"2409.00707","title":"ReMOVE: A Reference-free Metric for Object Erasure","created":"2024-09-01","cited_by_count":12,"area":"diffusion"},{"id":"2402.12741","title":"MuLan: Multimodal-LLM Agent for Progressive and Interactive Multi-Object Diffusion","created":"2024-02-20","cited_by_count":11,"area":"diffusion"},{"id":"2405.18326","title":"VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers","created":"2024-05-28","cited_by_count":11,"area":"diffusion"},{"id":"2412.01343","title":"MoTrans: Customized Motion Transfer with Text-driven Video Diffusion Models","created":"2024-12-02","cited_by_count":11,"area":"diffusion"},{"id":"2502.06527","title":"CustomVideoX: 3D Reference Attention Driven Dynamic Adaptation for Zero-Shot Customized Video Diffusion Transformers","created":"2025-02-10","cited_by_count":11,"area":"diffusion"},{"id":"2504.06752","title":"Compass Control: Multi Object Orientation Control for Text-to-Image Generation","created":"2025-04-09","cited_by_count":11,"area":"diffusion"},{"id":"2508.20586","title":"FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models","created":"2025-08-28","cited_by_count":11,"area":"diffusion"},{"id":"2404.04860","title":"ByteEdit: Boost, Comply and Accelerate Generative Image Editing","created":"2024-04-07","cited_by_count":10,"area":"diffusion"},{"id":"2412.11058","title":"SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models","created":"2024-12-15","cited_by_count":10,"area":"diffusion"},{"id":"2502.21291","title":"MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing","created":"2025-02-28","cited_by_count":10,"area":"diffusion"},{"id":"2312.06971","title":"CCM: Adding Conditional Controls to Text-to-Image Consistency Models","created":"2023-12-12","cited_by_count":9,"area":"diffusion"},{"id":"2408.03637","title":"TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided Optimization","created":"2024-08-07","cited_by_count":9,"area":"diffusion"},{"id":"2410.10751","title":"DragEntity: Trajectory Guided Video Generation using Entity and Positional Relationships","created":"2024-10-14","cited_by_count":9,"area":"diffusion"},{"id":"2410.23280","title":"DreamRelation: Bridging Customization and Relation Generation","created":"2024-10-30","cited_by_count":9,"area":"diffusion"},{"id":"2412.17644","title":"DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder","created":"2024-12-23","cited_by_count":9,"area":"diffusion"},{"id":"2507.05259","title":"Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing","created":"2025-07-07","cited_by_count":9,"area":"diffusion"},{"id":"2507.15037","title":"OmniVTON: Training-Free Universal Virtual Try-On","created":"2025-07-20","cited_by_count":9,"area":"diffusion"},{"id":"2403.04880","title":"An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control","created":"2024-03-07","cited_by_count":8,"area":"diffusion"},{"id":"2406.07008","title":"Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models","created":"2024-06-11","cited_by_count":8,"area":"diffusion"},{"id":"2410.12696","title":"AdaptiveDrag: Semantic-Driven Dragging on Diffusion-Based Image Editing","created":"2024-10-16","cited_by_count":8,"area":"diffusion"},{"id":"2504.13226","title":"Image Editing with Diffusion Models: A Survey","created":"2025-04-17","cited_by_count":8,"area":"diffusion"},{"id":"2505.16977","title":"Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On","created":"2025-05-22","cited_by_count":8,"area":"diffusion"},{"id":"2508.04825","title":"Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off","created":"2025-08-06","cited_by_count":8,"area":"diffusion"},{"id":"2502.04050","title":"PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models","created":"2025-02-06","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":"2505.20271","title":"In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space Manipulation","created":"2025-05-26","cited_by_count":7,"area":"diffusion"},{"id":"2507.21816","title":"Control Copy-Paste: Controllable Diffusion-Based Augmentation Method for Remote Sensing Few-Shot Object Detection","created":"2025-07-29","cited_by_count":7,"area":"diffusion"},{"id":"2512.16625","title":"DeContext as Defense: Safe Image Editing in Diffusion Transformers","created":"2025-12-18","cited_by_count":7,"area":"diffusion"},{"id":"2405.16393","title":"Disentangling Foreground and Background Motion for Enhanced Realism in Human Video Generation","created":"2024-05-26","cited_by_count":6,"area":"diffusion"},{"id":"2407.16982","title":"Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model","created":"2024-07-24","cited_by_count":6,"area":"diffusion"},{"id":"2408.12429","title":"FlexEdit: Marrying Free-Shape Masks to VLLM for Flexible Image Editing","created":"2024-08-22","cited_by_count":6,"area":"diffusion"},{"id":"2411.14295","title":"DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation","created":"2024-11-21","cited_by_count":6,"area":"diffusion"},{"id":"2503.16065","title":"Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model","created":"2025-03-20","cited_by_count":6,"area":"diffusion"},{"id":"2407.08019","title":"Coherent and Multi-modality Image Inpainting via Latent Space Optimization","created":"2024-07-10","cited_by_count":5,"area":"diffusion"},{"id":"2407.10592","title":"InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture","created":"2024-07-15","cited_by_count":5,"area":"diffusion"},{"id":"2411.16801","title":"Controllable Human Image Generation with Personalized Multi-Garments","created":"2024-11-25","cited_by_count":5,"area":"diffusion"},{"id":"2412.14283","title":"PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation","created":"2024-12-18","cited_by_count":5,"area":"diffusion"},{"id":"2501.09826","title":"PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery","created":"2025-01-16","cited_by_count":5,"area":"diffusion"},{"id":"2511.19990","title":"OmniRefiner: Reinforcement-Guided Local Diffusion Refinement","created":"2025-11-25","cited_by_count":5,"area":"diffusion"},{"id":"2602.06159","title":"Driving with DINO: Vision Foundation Features as a Unified Bridge for Sim-to-Real Generation in Autonomous Driving","created":"2026-02-05","cited_by_count":5,"area":"diffusion"},{"id":"2401.09195","title":"Training-Free Semantic Video Composition via Pre-trained Diffusion Model","created":"2024-01-17","cited_by_count":4,"area":"diffusion"}],"next_cursor":"100"}