Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

arXiv:2312.02145v2 Announce Type: replace
Abstract: Monocular depth estimation is a fundamental computer vision task. Recovering 3D depth from a single image is geometrically ill-posed and requires scene understanding, so it is not surprising that the rise of deep learning has led to a breakthrough. The impressive progress of monocular depth estimators has mirrored the growth in model capacity, from relatively modest CNNs to large Transformer architectures. Still, monocular depth estimators tend to struggle when presented with images with unfamiliar content …

arxiv cs.cv diffusion generators image image generators type