VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL

Fengyuan Dai, Zifeng Zhuang, Yufei Huang +4

Diffusion models have emerged as powerful generative tools across various domains, yet tailoring pre-trained models to exhibit specific desirable properties remains challenging. Wh…