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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ pretty_name: MatPredict
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+ task_categories:
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+ - image-to-image
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+ - image-segmentation
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+ tags:
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+ - synthetic-data
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+ - inverse-rendering
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+ - material-segmentation
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+ - material-properties
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+ - pbr
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+ - robotics
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+ - indoor-scenes
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+ ---
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+
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+ # MatPredict
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+
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+ MatPredict is a synthetic dataset for material-centric scene understanding. It supports two main tasks:
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+
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+ 1. **Inverse rendering**: predict material properties such as albedo, roughness, and metallic maps from RGB images.
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+ 2. **Material segmentation**: predict material regions or material classes from RGB images.
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+
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+ The dataset contains rendered object variants with paired RGB images, material property maps, segmentation labels, camera transforms, and metadata.
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+
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+ ## Dataset Structure
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+
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+ ```text
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+ MatPredict/
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+ material_segmentation_map.yaml
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+ material_segmentation_train_config.yaml
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+ config/
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+ object_disjoint_v1.yaml
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+ variance_disjoint_v1.yaml
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+
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+ <object_name>/
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+ <variant_name>/
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+ images/ # RGB input images
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+ albedo/ # base color targets
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+ ORM/ # packed material map; roughness=G, metallic=B
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+ label/ # material segmentation labels
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+ depth/
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+ normal_mat/
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+ normal_obj/
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+ transforms.json
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+ metadata.json
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+ material_segmentation_map.json
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+ ```
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+
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+ ## Tasks
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+
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+ ### Inverse Rendering
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+
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+ Input:
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+
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+ ```text
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+ images/*.png
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+ ```
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+
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+ Targets:
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+
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+ ```text
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+ albedo/*.png
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+ ORM/*.png
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+ ```
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+
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+ ### Material Segmentation
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+
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+ Input:
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+
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+ ```text
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+ images/*.png
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+ ```
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+
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+ Target:
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+
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+ ```text
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+ label/*.png
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+ ```