CVPR2025

DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling

Xin Xie, Dong Gong

摘要

Figure 1 . Sample images generated by our method based on SDXL backbones. Under the guidance of our method, the generated images not only achieve a high alignment with text prompt and human preferences, but also exhibit visually attractive and stunning aesthetics.