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README.md
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@@ -16,23 +16,23 @@ This repository hosts the pretrained parameters for the SuperMat project, as des
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| Model | Description |
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| --- | --- |
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| supermat.
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| supermat_mv.
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| uv_refine_bc | UV refinement network for albedo materials
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| uv_refine_rm | UV refinement network for roughness & metallic materials
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All models are built upon the base model `stabilityai/stable-diffusion-2-1`.
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Note: The official `stabilityai/stable-diffusion-2-1` model has been removed. You may need to obtain the base model parameters through alternative sources, such as `sd2-community/stable-diffusion-2-1`.
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# Model Details
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#### SuperMat (supermat.
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The core model for material decomposition. It takes RGBA images as input and decomposes materials from the target object.
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#### SuperMat Multi-View (supermat_mv.
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An extended version that processes six orthogonal views simultaneously. This model leverages multi-view consistency for improved material estimation. For each view, the camera-to-world (c2w) matrix is provided as camera embeddings.
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#### UV Refinement Networks
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Two specialized networks for refining UV maps:
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- uv_refine_bc: Refines the UV map for albedo materials
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- uv_refine_rm: Refines the UV map for roughness & metallic materials
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# Download & Usage
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Download the desired model(s) from this repository and place them in the checkpoints folder:
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| Model | Description |
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| --- | --- |
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| supermat.pth | Base SuperMat model for material decomposition
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| supermat_mv.pth | Multi-view version of SuperMat processing six orthogonal views
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| uv_refine_bc.pth | UV refinement network for albedo materials
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| uv_refine_rm.pth | UV refinement network for roughness & metallic materials
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All models are built upon the base model `stabilityai/stable-diffusion-2-1`.
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Note: The official `stabilityai/stable-diffusion-2-1` model has been removed. You may need to obtain the base model parameters through alternative sources, such as `sd2-community/stable-diffusion-2-1`.
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# Model Details
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#### SuperMat (supermat.pth)
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The core model for material decomposition. It takes RGBA images as input and decomposes materials from the target object.
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#### SuperMat Multi-View (supermat_mv.pth)
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An extended version that processes six orthogonal views simultaneously. This model leverages multi-view consistency for improved material estimation. For each view, the camera-to-world (c2w) matrix is provided as camera embeddings.
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#### UV Refinement Networks
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Two specialized networks for refining UV maps:
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- uv_refine_bc.pth: Refines the UV map for albedo materials
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- uv_refine_rm.pth: Refines the UV map for roughness & metallic materials
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# Download & Usage
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Download the desired model(s) from this repository and place them in the checkpoints folder:
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