Model overview
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.
Key features
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Limitations & considerations
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Source prices & cost analysis
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Public benchmarks & run configuration
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Sources & traceability
许可证：openrail++。模型介绍与第三方评测均以原来源的具体版本和方法为准。