Introduction

Marigold is a diffusion model and associated fine-tuning protocol for monocular depth estimation. Its core principle is to leverage the rich visual knowledge stored in modern generative image models. Our model, derived from Stable Diffusion and fine-tuned with synthetic data, can zero-shot transfer to unseen data, offering state-of-the-art monocular depth estimation results.

The gallery below presents several images from the internet and a comparison of Marigold with the previous state-of-the-art method LeRes. Use the slider and gestures to reveal details on both sides.