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AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized S...
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pre-trained 3D model. -
Unconventionally Feasible Objects
The dataset used in the paper is UFO, a collection of 50 prompts for generating 3D models of objects -
ShapeNet-13
The dataset used in the paper is ShapeNet-13, a collection of 3D models of objects -
Geometry aware 3D generation from in-the-wild images in ImageNet
Generating accurate 3D models is a challenging problem that traditionally requires explicit learning from 3D datasets using supervised learning. -
Neusdfusion
The Neusdfusion dataset is a collection of 3D shapes, each represented as a point cloud. The dataset is used for 3D shape completion, reconstruction, and generation tasks. -
Synthetic Indoor Scene
The dataset used in the paper for 3D geometry reconstruction and novel view synthesis. -
Stanford 3D models
The dataset used in the paper for 3D geometry reconstruction and novel view synthesis. -
ABC Dataset
A dataset of 3D models, including chairs, tables, and other objects. -
8i Voxelized Full Bodies
Point clouds are 3D point sets containing both geometry coordinates and associated attributes, which can describe scenes correctly and stereoscopically. Recently, point clouds... -
Microsoft Voxelized Upper Bodies
Point clouds are 3D point sets containing both geometry coordinates and associated attributes, which can describe scenes correctly and stereoscopically. Recently, point clouds... -
YCB Object and Model Set
The YCB object and model set is a benchmark for manipulation research, consisting of 15 object categories and 3D models. -
ShapeNetSem
The ShapeNetSem dataset used in the paper for 3D object understanding and manipulation. -
ModelNet40 dataset
The ModelNet40 dataset is a collection of 3D models, each with multiple views and annotations. -
ModelNet40, ModelNet10
The dataset used in the paper is ModelNet40 and ModelNet10, which are subsets of ShapeNet. -
ShapeNet, ModelNet40, ModelNet10
The dataset used in the paper is ShapeNet, a large-scale dataset of 3D models, and ModelNet40 and ModelNet10, which are subsets of ShapeNet. -
RGB-D-Fusion dataset
A custom dataset created by rendering RGB-D images using perspective projection from high-quality 3D models of people. -
ShapeNet Core
The dataset used in the paper is a collection of unpaired shapes, including chairs and tables, and letters in different font styles.
