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Occluded Object Reconstruction using Conditional Generative Adversarial Networks
The dataset used for training and testing the conditional generative adversarial networks for occluded object reconstruction. -
Stanford 3D Scanning Repository
The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal... -
MobileBrick
The MobileBrick dataset contains videos of LEGO models, with corresponding 3D ground-truth meshes. -
Google Scanned Objects
Google Scanned Objects is a real-scanned 3D object dataset and we use all its 1030 samples for evaluation unlike existing works [29, 31] that only use 30 of them. -
Objaverse: A universe of annotated 3D objects
A large-scale dataset of 3D objects for training and testing 3D reconstruction models.