Marigold adapts pretrained diffusion models, originally designed for image generation, into image analysis tools for depth estimation and related perception tasks. The method fine-tunes the denoising process to extract geometric information like depth maps, surface normals, and intrinsic image components from single RGB images. It operates in a zero-shot, in-the-wild setting and provides models via Hugging Face for inference.