{"total":52,"rows":[{"id":"2503.07703","title":"Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model","created":"2025-03-10","cited_by_count":62,"area":"diffusion"},{"id":"2411.15466","title":"Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator","created":"2024-11-23","cited_by_count":48,"area":null},{"id":"2411.18616","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","created":"2024-11-27","cited_by_count":47,"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":"2502.01720","title":"Generating Multi-Image Synthetic Data for Text-to-Image Customization","created":"2025-02-03","cited_by_count":25,"area":null},{"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":"2410.15027","title":"Group Diffusion Transformers are Unsupervised Multitask Learners","created":"2024-10-19","cited_by_count":22,"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":"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":"2412.03177","title":"PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation","created":"2024-12-04","cited_by_count":18,"area":null},{"id":"2511.08585","title":"Simulating the Visual World with Artificial Intelligence: A Roadmap","created":"2025-11-11","cited_by_count":15,"area":"wm"},{"id":"2410.11439","title":"A Simple Approach to Unifying Diffusion-based Conditional Generation","created":"2024-10-15","cited_by_count":13,"area":null},{"id":"2509.24817","title":"UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections","created":"2025-09-29","cited_by_count":10,"area":null},{"id":"2502.02452","title":"Personalization Toolkit: Training Free Personalization of Large Vision Language Models","created":"2025-02-04","cited_by_count":8,"area":"mllm"},{"id":"2502.20376","title":"Tight Inversion: Image-Conditioned Inversion for Real Image Editing","created":"2025-02-27","cited_by_count":7,"area":"diffusion"},{"id":"2503.23353","title":"Object Isolated Attention for Consistent Story Visualization","created":"2025-03-30","cited_by_count":7,"area":null},{"id":"2508.10531","title":"Projected Coupled Diffusion for Test-Time Constrained Joint Generation","created":"2025-08-14","cited_by_count":7,"area":"diffusion"},{"id":"2411.17786","title":"DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching","created":"2024-11-26","cited_by_count":6,"area":null},{"id":"2503.10342","title":"DreamInsert: Zero-Shot Image-to-Video Object Insertion from A Single Image","created":"2025-03-13","cited_by_count":6,"area":"diffusion"},{"id":"2503.10365","title":"Piece it Together: Part-Based Concepting with IP-Priors","created":"2025-03-13","cited_by_count":6,"area":null},{"id":"2504.01515","title":"Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis","created":"2025-04-02","cited_by_count":6,"area":null},{"id":"2504.15281","title":"StyleMe3D: Stylization with Disentangled Priors by Multiple Encoders on 3D Gaussians","created":"2025-04-21","cited_by_count":6,"area":null},{"id":"2505.23325","title":"Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis","created":"2025-05-29","cited_by_count":6,"area":null},{"id":"2509.21989","title":"Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation","created":"2025-09-26","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":"2411.16801","title":"Controllable Human Image Generation with Personalized Multi-Garments","created":"2024-11-25","cited_by_count":5,"area":"diffusion"},{"id":"2411.19261","title":"Improving Multi-Subject Consistency in Open-Domain Image Generation with Isolation and Reposition Attention","created":"2024-11-28","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":"2509.26127","title":"EchoGen: Generating Visual Echoes in Any Scene via Feed-Forward Subject-Driven Auto-Regressive Model","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2511.21024","title":"CameraMaster: Unified Camera Semantic-Parameter Control for Photography Retouching","created":"2025-11-26","cited_by_count":3,"area":"diffusion"},{"id":"2603.08090","title":"DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation","created":"2026-03-09","cited_by_count":3,"area":null},{"id":"2504.17816","title":"Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute","created":"2025-04-23","cited_by_count":2,"area":null},{"id":"2507.10029","title":"Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies","created":"2025-07-14","cited_by_count":2,"area":"diffusion"},{"id":"2601.22094","title":"RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation","created":"2026-01-29","cited_by_count":2,"area":"diffusion"},{"id":"2603.25985","title":"JRM: Joint Reconstruction Model for Multiple Objects without Alignment","created":"2026-03-27","cited_by_count":2,"area":null},{"id":"2605.07456","title":"Inference-Time Attribute Distribution Alignment for Unconditional Diffusion","created":"2026-05-08","cited_by_count":2,"area":"diffusion"},{"id":"2503.24387","title":"CoCoIns: Consistent Subject Generation via Contrastive Instantiated Concepts","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2506.05843","title":"FontAdapter: Instant Font Adaptation in Visual Text Generation","created":"2025-06-06","cited_by_count":1,"area":"diffusion"},{"id":"2507.13404","title":"AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation","created":"2025-07-17","cited_by_count":1,"area":"diffusion"},{"id":"2508.10407","title":"Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models","created":"2025-08-14","cited_by_count":1,"area":"diffusion"},{"id":"2510.14553","title":"Consistent text-to-image generation via scene de-contextualization","created":"2025-10-16","cited_by_count":1,"area":null},{"id":"2510.20512","title":"Adversarial Concept Distillation for One-Step Diffusion Personalization","created":"2025-10-23","cited_by_count":1,"area":"diffusion"},{"id":"2512.22984","title":"Reverse Personalization","created":"2025-12-28","cited_by_count":1,"area":"diffusion"},{"id":"2603.20755","title":"Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping","created":"2026-03-21","cited_by_count":1,"area":"diffusion"},{"id":"2606.04797","title":"Crafting Your Evolving Dreams: Concept-Incremental Versatile Customization","created":"2026-06-03","cited_by_count":1,"area":"diffusion"},{"id":"2506.03621","title":"Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven Generation","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2509.16702","title":"Animalbooth: multimodal feature enhancement for animal subject personalization","created":"2025-09-20","cited_by_count":0,"area":null},{"id":"2511.22245","title":"Semantic Anchoring for Robust Personalization in Text-to-Image Diffusion Models","created":"2025-11-27","cited_by_count":0,"area":"diffusion"},{"id":"2603.21136","title":"MS-CustomNet: Controllable Multi-Subject Customization with Hierarchical Relational Semantics","created":"2026-03-22","cited_by_count":0,"area":"diffusion"},{"id":"2604.26883","title":"SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2605.08702","title":"Gate-and-Merge: Zero-shot Compositional Personalization of Vision Language Models","created":"2026-05-09","cited_by_count":0,"area":"mllm"},{"id":"2606.23682","title":"Keep The Essentials: Efficient Reference Conditioned Generation via Token Dropping","created":"2026-06-22","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}