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HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction. (arXiv:2206.12356v1 [cs.CV])
June 27, 2022, 1:12 a.m. | Zhenpei Yang, Zaiwei Zhang, Qixing Huang
cs.CV updates on arXiv.org arxiv.org
Reconstructing 3D objects is an important computer vision task that has wide
application in AR/VR. Deep learning algorithm developed for this task usually
relies on an unrealistic synthetic dataset, such as ShapeNet and Things3D. On
the other hand, existing real-captured object-centric datasets usually do not
have enough annotation to enable supervised training or reliable evaluation. In
this technical report, we present a photo-realistic object-centric dataset
HM3D-ABO. It is constructed by composing realistic indoor scene and realistic
object. For each configuration, …
More from arxiv.org / cs.CV updates on arXiv.org
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