Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment 事件

Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment arXiv:2511.16870v3 Announce Type: replace Abstract: Enforcing alignment between the internal representations of diffusion or flow-based generative models and those of pretrained self-supervised encoders has recently been shown to provide a powerful inductive bias, improving both convergence and sample quality. In this work, we extend this idea to inverse problems, where pretrained generati