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

• URL: http://arxiv.org/abs/2309.07921v2
• Date: Thu, 1 Feb 2024 07:01:19 GMT
• Title: OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
• Authors: Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su
• Abstract summary: We introduce OpenIllumination, a real-world dataset containing over 108K images of 64 objects with diverse materials. For each image in the dataset, we provide accurate camera parameters, illumination ground truth, and foreground segmentation masks.
• Score: 56.065616159398324
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We introduce OpenIllumination, a real-world dataset containing over 108K images of 64 objects with diverse materials, captured under 72 camera views and a large number of different illuminations. For each image in the dataset, we provide accurate camera parameters, illumination ground truth, and foreground segmentation masks. Our dataset enables the quantitative evaluation of most inverse rendering and material decomposition methods for real objects. We examine several state-of-the-art inverse rendering methods on our dataset and compare their performances. The dataset and code can be found on the project page: https://oppo-us-research.github.io/OpenIllumination.

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