3D Shape Generation
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Greatest papers with code
3D Point Capsule Networks
CVPR 2019
• yongheng1991/3D-point-capsule-networks
• 
In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
3D FEATURE MATCHING 3D GEOMETRY PERCEPTION 3D OBJECT CLASSIFICATION 3D OBJECT RECONSTRUCTION 3D PART SEGMENTATION 3D POINT CLOUD MATCHING 3D SHAPE GENERATION 3D SHAPE REPRESENTATION
SurfNet: Generating 3D shape surfaces using deep residual networks
3D shape models are naturally parameterized using vertices and faces, \ie, composed of polygons forming a surface.
Multi-chart Generative Surface Modeling
• helibenhamu/multichart3dgans
• 
The new tensor data representation is used as input to Generative Adversarial Networks for the task of 3D shape generation.
Learning a Hierarchical Latent-Variable Model of 3D Shapes
• lorenmt/vsl
•
We propose the Variational Shape Learner (VSL), a generative model that learns the underlying structure of voxelized 3D shapes in an unsupervised fashion.
#3 best model for
3D Object Recognition
on ModelNet40
3D OBJECT CLASSIFICATION 3D OBJECT RECOGNITION 3D RECONSTRUCTION 3D SHAPE GENERATION
3DN: 3D Deformation Network
Given such a source 3D model and a target which can be a 2D image, 3D model, or a point cloud acquired as a depth scan, we introduce 3DN, an end-to-end network that deforms the source model to resemble the target.