DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing

ArXi:2511.17038v2 Announce Type: replace From a Bayesian perspective, score-based diffusion solves inverse problems through joint inference, embedding the likelihood with the prior to guide the sampling process. However, this formulation fails to explain its practical behavior: the prior offers limited guidance, while reconstruction is largely driven by the measurement-consistency term, leading to an inference process that is effectively decoupled from the diffusion dynamics.