MatPredict MatPredict is a synthetic dataset for material centric scene understanding. It supports two main tasks: 1. Inverse rendering : predict material properties such as albedo, roughness, and metallic maps from RGB images. 2. Material segmentation : predict material regions or material classes from RGB images. The dataset contains rendered object variants with paired RGB images, material property maps, segmentation labels, camera transforms, and metadata. Dataset Structure Tasks Inverse Rendering Input: Targets: Material Segmentation Input: Target: Splits The dataset includes two split files: config/object disjoint v1.yaml : train, validation, and test sets use disjoint object identities. config/variance disjoint v1.yaml : train, validation, and test sets use disjoint material/rendering variants. Both split files store relative sample ids in the form:
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