{"total":18,"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":"2309.17400","title":"Directly Fine-Tuning Diffusion Models on Differentiable Rewards","created":"2023-09-29","cited_by_count":448,"area":"diffusion"},{"id":"2303.07909","title":"Text-to-image Diffusion Models in Generative AI: A Survey","created":"2023-03-14","cited_by_count":265,"area":"diffusion"},{"id":"2303.13703","title":"End-to-End Diffusion Latent Optimization Improves Classifier Guidance","created":"2023-03-23","cited_by_count":108,"area":"diffusion"},{"id":"2309.00810","title":"RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model","created":"2023-09-02","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":"2401.18085","title":"Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators","created":"2024-01-31","cited_by_count":39,"area":"diffusion"},{"id":"2309.06933","title":"DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models","created":"2023-09-13","cited_by_count":27,"area":"diffusion"},{"id":"2305.16811","title":"Improved Visual Story Generation with Adaptive Context Modeling","created":"2023-05-26","cited_by_count":22,"area":"diffusion"},{"id":"2401.13388","title":"UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion","created":"2024-01-24","cited_by_count":15,"area":"diffusion"},{"id":"2301.11558","title":"Accelerating Guided Diffusion Sampling with Splitting Numerical Methods","created":"2023-01-27","cited_by_count":13,"area":"diffusion"},{"id":"2403.19254","title":"Imperceptible Protection against Style Imitation from Diffusion Models","created":"2024-03-28","cited_by_count":9,"area":"diffusion"},{"id":"2312.12030","title":"Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method","created":"2023-12-19","cited_by_count":8,"area":"diffusion"},{"id":"2407.01921","title":"GVDIFF: Grounded Text-to-Video Generation with Diffusion Models","created":"2024-07-02","cited_by_count":4,"area":"diffusion"},{"id":"2506.01511","title":"Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment","created":"2025-06-02","cited_by_count":3,"area":"diffusion"},{"id":"2305.15194","title":"DiffBlender: Composable and Versatile Multimodal Text-to-Image Diffusion Models","created":"2023-05-24","cited_by_count":1,"area":"diffusion"},{"id":"2401.15282","title":"GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis","created":"2024-01-27","cited_by_count":0,"area":"diffusion"},{"id":"2411.15199","title":"Input-Adaptive Generative Dynamics in Diffusion Models","created":"2024-11-19","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}