DORS: Dynamic Attention Routing for Diffusion-based Object Removal in Dense Scenes
DORS proposes a training-free framework to remove objects from dense scenes by controlling information flow in attention. It uses Instance-Filtered Attention to block misleading connections to similar objects and Context-Guided Routing to selectively restore useful background context. This dynamic routing effectively suppresses interference while maintaining structural consistency, leading to better object removal results.