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We introduce OpenIllumination, a real-world dataset containing over 108Kimages of 64 objects with diverse materials, captured under 72 camera views anda large number of different illuminations. For each image in the dataset, weprovide accurate camera parameters, illumination ground truth, and foregroundsegmentation masks. Our dataset enables the quantitative evaluation of mostinverse rendering and material decomposition methods for real objects. Weexamine several state-of-the-art inverse rendering methods on our dataset andcompare their performances. The dataset and code can be found on the projectpage: https://oppo-us-research.github.io/OpenIllumination.

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects