1 Introduction
2 Related Work
3 Compression Method
1. 3.1 Compact U-Net Architecture
2. 3.2 Distillation-based Retraining
4 Experimental Setup
5 Results
6 Conclusion and Discussion
0.A U-Net Architecture and Distillation Retraining
0.B Impact of Mid-stage Removal
0.C Block-level Pruning Sensitivity Analysis
0.D Comparison with Existing Studies
0.E Personalized Generation
0.F Text-guided Image-to-Image Translation
0.G Deployment on Edge Devices
0.H Impact of Training Data Volume
0.I Additional Experiments
0.J Implementation

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