DOHF: Online Diffusion Fine-tuning with Doob's $h$-transform Guidance
This work proposes Diffusion Online-guidance Fine-tuning (DOHF), which turns Doob's $h-transform into a practical online training algorithm and demonstrates how adapting probabilistic conditioning through inexpensive estimation and iterative distillation can improve generative learning across statistical sampling and v...