GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance 事件

GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance arXiv:2606.03119v1 Announce Type: new Abstract: Guidance methods, such as classifier-free guidance (CFG) and auto-guidance (AG), have advanced noise-to-data generation in diffusion models. Recently, bridge models have introduced a data-to-data generative process that can exploit an instructive clean prior. In this work, inspired by previous methods creating quality difference between denoising results as guidance, we prop