1 INTRODUCTION  
2 PRELIMINARIES  
2.1 Denoising Diffusion Probabilistic Models  
2.2 Text-to-Image Generation  
2.3 Notation  
3 PROBLEM FORMULATION  
3.1 Definition of Multimodal-Guided Image Editing  
3.2 Multimodal User Guidance  
3.3 Editing Scenario  
3.4 Evaluation of Image Editing  
3.5 Unified Framework  
4 INVERSION ALGORITHM  
4.1 Tuning-Based Inversion  
4.2 Forward-Based Inversion  
5 EDITING ALGORITHM  
5.1 Attention-Based Editing  
5.2 Blending-Based Editing  
5.3 Score-Based Editing  
5.4 Optimization-Based Editing  
6 DESIGN SPACE WITHIN UNIFIED FRAMEWORK  
6.1 Applications in Multimodal-Guided Editing  
6.2 Comparison in Text-Driven Editing  
7 TRAINING-BASED IMAGE EDITING  
7.1 Content-Aware Editing  
7.2 Content-Free Editing  
8 EXTENSION IN VIDEO EDITING  
8.1 Utilization of Motion Prior  
8.2 Cross-Frame Attention  
8.3 Propagation of Image Information  
9 FUTURE DIRECTION  
10 CONCLUSION