Marigold Normals v1 1 Model Card This is a model card for the marigold normals v1 1 model for monocular normals estimation from a single image. The model is fine tuned from the stable diffusion 2 model as described in our papers: CVPR'2024 paper titled "Repurposing Diffusion Based Image Generators for Monocular Depth Estimation" Journal extension titled "Marigold: Affordable Adaptation of Diffusion Based Image Generators for Image Analysis" Using the model Play with the interactive Hugging Face Spaces demo: check out how the model works with example images or upload your own. Use it with diffusers to compute the results with a few lines of code. Get to the bottom of things with our official codebase. Model Details Developed by: Bingxin Ke, Kevin Qu, Tianfu Wang, Nando Metzger, Shengyu Huang, Bo Li, Anton Obukhov, Konrad Schindler. Model type: Generative latent diffusion based normals estimation from a single image. Language: English. License: CreativeML Open RAIL++ M License. Model Description: This model can be used to generate an estimated surface normals map of an input image. Resolution : Even though any resolution can be processed, the model inherits the base diffusion model's…
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