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Greatest papers with code

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

Learning to Dress 3D People in Generative Clothing

CVPR 2020 QianliM/CAPE

To our knowledge, this is the first generative model that directly dresses 3D human body meshes and generalizes to different poses.

3D HUMAN POSE ESTIMATION 3D HUMAN RECONSTRUCTION 3D SHAPE GENERATION 3D SHAPE MODELING

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

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

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

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

ECCV 2020 daerduoCarey/pt2pc

3D generative shape modeling is a fundamental research area in computer vision and interactive computer graphics, with many real-world applications.

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

Combinatorial 3D Shape Generation via Sequential Assembly

16 Apr 2020POSTECH-CVLab/Combinatorial-3D-Shape-Generation

To alleviate this consequence induced by a huge number of feasible combinations, we propose a combinatorial 3D shape generation framework.

3D SHAPE GENERATION