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3D-RCNN: Instance-level 3D object reconstruction via render-and-compare
3D-RCNN: Instance-level 3D object reconstruction via render-and-compare. -
NMR ShapeNet
The dataset used in the paper is a synthetic 3D dataset containing 13 categories of objects. -
RealFusion dataset
The RealFusion dataset is a collection of 3D objects from different categories. -
GSO dataset
The GSO dataset is a collection of 3D objects from different categories. -
OmniObject3D dataset
The OmniObject3D dataset contains 3D objects with varying textures and poses. -
Tanks and Temples
Neural Radiance Fields (NeRFs) model a 3D scene as a volumetric function, which can be rendered from arbitrary viewpoints to generate highly-realistic images. -
NBV-Classification-Dataset
The dataset used for testing the proposed next-best-view classification method. -
NBV-Regression-Dataset
The dataset used for training and validation of the proposed next-best-view regression method.
