{"total":21,"rows":[{"id":"2211.09794","title":"Null-text Inversion for Editing Real Images using Guided Diffusion Models","created":"2022-11-17","cited_by_count":1179,"area":"diffusion"},{"id":"2201.11793","title":"Denoising Diffusion Restoration Models","created":"2022-01-27","cited_by_count":963,"area":"diffusion"},{"id":"2108.02938","title":"ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models","created":"2021-08-06","cited_by_count":635,"area":"diffusion"},{"id":"2304.01247","title":"Generative Diffusion Prior for Unified Image Restoration and Enhancement","created":"2023-04-03","cited_by_count":199,"area":"diffusion"},{"id":"2303.17559","title":"DDP: Diffusion Model for Dense Visual Prediction","created":"2023-03-30","cited_by_count":148,"area":"diffusion"},{"id":"2311.12052","title":"MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion","created":"2023-11-18","cited_by_count":117,"area":"diffusion"},{"id":"2303.15649","title":"StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing","created":"2023-03-28","cited_by_count":68,"area":"diffusion"},{"id":"2301.12686","title":"GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration","created":"2023-01-30","cited_by_count":59,"area":"diffusion"},{"id":"2304.14573","title":"SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis","created":"2023-04-28","cited_by_count":41,"area":"diffusion"},{"id":"2305.16965","title":"Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling","created":"2023-05-26","cited_by_count":21,"area":"diffusion"},{"id":"2311.12850","title":"PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining","created":"2023-10-19","cited_by_count":13,"area":"diffusion"},{"id":"2407.20784","title":"Inverse Problems with Diffusion Models: A MAP Estimation Perspective","created":"2024-07-27","cited_by_count":9,"area":"diffusion"},{"id":"2401.04339","title":"Memory-Efficient Fine-Tuning for Quantized Diffusion Model","created":"2024-01-09","cited_by_count":8,"area":"diffusion"},{"id":"2505.20789","title":"Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models","created":"2025-05-27","cited_by_count":7,"area":"diffusion"},{"id":"2312.05482","title":"BARET : Balanced Attention based Real image Editing driven by Target-text Inversion","created":"2023-12-09","cited_by_count":6,"area":"diffusion"},{"id":"2403.18370","title":"Ship in Sight: Diffusion Models for Ship-Image Super Resolution","created":"2024-03-27","cited_by_count":6,"area":"diffusion"},{"id":"2411.19050","title":"I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting","created":"2024-11-28","cited_by_count":6,"area":"diffusion"},{"id":"2512.04283","title":"Plug-and-Play Image Restoration with Flow Matching: A Continuous Viewpoint","created":"2025-12-03","cited_by_count":3,"area":"diffusion"},{"id":"2507.21627","title":"GuidPaint: Class-Guided Image Inpainting with Diffusion Models","created":"2025-07-29","cited_by_count":2,"area":"diffusion"},{"id":"2506.06826","title":"Controllable Coupled Image Generation via Diffusion Models","created":"2025-06-07","cited_by_count":0,"area":"diffusion"},{"id":"2510.02208","title":"MACS: Measurement-Aware Consistency Sampling for Inverse Problems","created":"2025-10-02","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}