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This is a model card for the `marigold-depth-v1-0` model for monocular depth 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"

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marigold-depth-v1-1

prs-eth

This is a model card for the `marigold-depth-v1-1` model for monocular depth 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"

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marigold-iid-appearance-v1-1

prs-eth

This is a model card for the `marigold-iid-appearance-v1-1` model for single-image Intrinsic Image Decomposition (IID). 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" This model type (`appearance`) is trained to perform InteriorVerse decomposition into **Albedo** and two **BRDF material** properties: **roughness** and **metallicity**. Both the input image and the output albedo are in the sRGB color space. For an alternative model type (`lighting`) that performs decomposition into Albedo, Diffuse shading, and Non-diffuse residual, click here.

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marigold-iid-lighting-v1-1

prs-eth

This is a model card for the `marigold-iid-lighting-v1-1` model for single-image Intrinsic Image Decomposition (IID). 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" This model type (`lighting`) is trained to perform HyperSim decomposition into **Albedo**, **Diffuse shading**, and **Non-diffuse residual**. This decomposition aligns with the intrinsic residual model \\(I = A*S+R\\), where the image \\(I\\) is composed of a three-channel albedo \\(A\\), a three-channel diffuse shading component \\(S\\) (representing illumination color), and an additive three-channel residual term \\(R\\) capturing non-diffuse effects. The input is in the sRGB color space, while all outputs are in linear space. For an alternative model type (`appearance`) that performs decomposition into Albedo, Roughness, and Metallicity, click here.

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marigold-normals-lcm-v0-1

prs-eth

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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marigold-normals-v0-1

prs-eth

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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marigold-normals-v1-1

prs-eth

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"

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PaGeR

prs-eth

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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