Resolving Endpoint Underfitting in Diffusion Bridges via Noise Alignment 事件

Resolving Endpoint Underfitting in Diffusion Bridges via Noise Alignment arXiv:2605.28962v1 Announce Type: new Abstract: Diffusion bridge models offer a powerful framework for connecting two data distributions, such as in image restoration and translation. Many existing methods learn this bridge by mimicking the score-matching formulation of standard diffusion models. In this work, we find that this way leads to an anomalous underfitting phenomenon near the target endpoint, as the process appro