Zero-Shot Depth from Defocus

ArXi:2603.26658v1 Announce Type: new Depth from Defocus (DfD) is the task of estimating a dense metric depth map from a focus stack. Unlike previous works overfitting to a certain dataset, this paper focuses on the challenging and practical setting of zero-shot generalization. We first propose a new real-world DfD benchmark ZEDD, which contains 8.3x scenes and significantly higher quality images and ground-truth depth maps compared to previous benchmarks. We also design a novel network architecture named.