{"total":15,"rows":[{"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":"2404.09967","title":"Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model","created":"2024-04-15","cited_by_count":66,"area":"diffusion"},{"id":"2406.09750","title":"ControlVAR: Exploring Controllable Visual Autoregressive Modeling","created":"2024-06-14","cited_by_count":58,"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":"2409.19365","title":"Conditional Image Synthesis with Diffusion Models: A Survey","created":"2024-09-28","cited_by_count":29,"area":"diffusion"},{"id":"2410.09400","title":"CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation","created":"2024-10-12","cited_by_count":21,"area":"diffusion"},{"id":"2501.16559","title":"LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation","created":"2025-01-27","cited_by_count":11,"area":"diffusion"},{"id":"2503.07416","title":"TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision","created":"2025-03-10","cited_by_count":9,"area":"diffusion"},{"id":"2506.04244","title":"Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models","created":"2025-05-29","cited_by_count":3,"area":"diffusion"},{"id":"2605.01929","title":"Exploring Data-Free LoRA Transferability for Video Diffusion Models","created":"2026-05-03","cited_by_count":3,"area":"diffusion"},{"id":"2505.03097","title":"Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability","created":"2025-05-06","cited_by_count":2,"area":"diffusion"},{"id":"2512.02899","title":"Glance: Accelerating Diffusion Models with 1 Sample","created":"2025-12-02","cited_by_count":2,"area":"diffusion"},{"id":"2507.02321","title":"Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback","created":"2025-07-03","cited_by_count":1,"area":"diffusion"},{"id":"2407.16182","title":"No Re-Train, More Gain: Upgrading Backbones with Diffusion model for Pixel-Wise and Weakly-Supervised Few-Shot Segmentation","created":"2024-07-23","cited_by_count":0,"area":"diffusion"},{"id":"2609.20051","title":"DART: Distillation-Aware Reparameterization for Training-Free LoRA Reuse in Few-Step Video Diffusion Models","created":"2026-09-17","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}