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3D-FUTURE: 3D Furniture Shape with TextURE

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Abstract

The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories. Thus, they typically have insufficient geometric details and less informative textures, making them less attractive for comprehensive and subtle research in areas such as high-quality 3D mesh and texture recovery. This paper presents 3D Furniture shape with TextURE (3D-FUTURE): a richly-annotated and large-scale repository of 3D furniture shapes in the household scenario. At the time of this technical report, 3D-FUTURE contains 9992 modern 3D furniture shapes with high-resolution textures and detailed attributes. To support the studies of 3D modeling from images, we couple the CAD models with 20,240 scene images. The room scenes are designed by professional designers or generated by an industrial scene creating system. Given the well-organized 3D-FUTURE and its characteristics, we provide a package of baseline experiments, such as joint 2D instance segmentation and 3D object pose estimation, image-based 3D shape retrieval, 3D object reconstruction from a single image, texture recovery for 3D shapes, and furniture composition, to facilitate related future researches on our database.

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Notes

  1. https://3dwarehouse.sketchup.com/.

  2. https://www.yobi3d.com/.

  3. https://www.chaosgroup.com/.

  4. https://www.shejijia.com/.

  5. https://3d.shejija.com/.

  6. https://github.com/3D-FRONT-FUTURE.

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Acknowledgements

Dacheng Tao is supported by Australian Research Council Project FL-170100117. Mingming Gong is supported by Australian Research Council Project DE-210101624. We would like to thank Alibaba Topping Homestyler for the great help with the data preparation and image rendering. We also appreciate Alibaba Tianchi for managing the dataset so that it can be easily requested and downloaded.

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  1. Tao Technology Department, Alibaba Group, Hangzhou, China

    Huan Fu, Rongfei Jia & Binqiang Zhao

  2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Lin Gao

  3. The University of Melbourne, Parkville, VIC, Australia

    Mingming Gong

  4. Department of Computer Science and Information Systems, Birkbeck College, University of London, London, UK

    Steve Maybank

  5. School of Computer Science, The University of Sydney, Camperdown, NSW, Australia

    Dacheng Tao

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Fu, H., Jia, R., Gao, L. et al. 3D-FUTURE: 3D Furniture Shape with TextURE. Int J Comput Vis 129, 3313–3337 (2021). https://doi.org/10.1007/s11263-021-01534-z

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