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3D Shape Generation

7 papers with code · Computer Vision
Subtask of 3D

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Learning elementary structures for 3D shape generation and matching

NeurIPS 2019 ThibaultGROUEIX/3D-CODED

We propose to represent shapes as the deformation and combination of learnable elementary 3D structures, which are primitives resulting from training over a collection of shape.

3D SHAPE GENERATION

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

1 Aug 2019daerduoCarey/structurenet

We introduce StructureNet, a hierarchical graph network which (i) can directly encode shapes represented as such n-ary graphs; (ii) can be robustly trained on large and complex shape families; and (iii) can be used to generate a great diversity of realistic structured shape geometries.

3D SHAPE GENERATION

3DN: 3D Deformation Network

CVPR 2019 laughtervv/3DN

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.

3D SHAPE GENERATION

SurfNet: Generating 3D shape surfaces using deep residual networks

CVPR 2017 sinhayan/surfnet

3D shape models are naturally parameterized using vertices and faces, \ie, composed of polygons forming a surface.

3D SHAPE GENERATION IMAGE GENERATION

Multi-chart Generative Surface Modeling

6 Jun 2018helibenhamu/multichart3dgans

The new tensor data representation is used as input to Generative Adversarial Networks for the task of 3D shape generation.

3D SHAPE GENERATION

Learning a Hierarchical Latent-Variable Model of 3D Shapes

17 May 2017lorenmt/vsl

We propose the Variational Shape Learner (VSL), a generative model that learns the underlying structure of voxelized 3D shapes in an unsupervised fashion.

3D OBJECT CLASSIFICATION 3D OBJECT RECOGNITION 3D RECONSTRUCTION 3D SHAPE GENERATION