"ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories. (arXiv:2302.02373v1 [cs.CV])" โ A novel and flexible conditional diffusion model by introducing conditions into the forward process. The process utilizes extra latent space to allocate an exclusive diffusion trajectory for each condition based on some shifting rules, which will disperse condition modeling to all timesteps and improve the learning capacity of model.