Code for paper "Learning Free-Form Deformations for 3D Object Reconstruction"

Official implementation of GraphX-Convolution

pure pytorch implements for "GraphX-convolution for point cloud deformation in 2D-to-3D conversion" , official implements is not pure-pytorch:

3DN: 3D Deformation Network, CVPR 2019

Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation (CVPR2019 Oral)

Flow-based generative model for 3D point clouds.

MGCN: Descriptor Learning using Multiscale GCNs (SIGGRAPH 2020)

3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network for more details,please see this link:and please cite our paper: https://ieeexplore.ieee.org/document/9086481?source=author…

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

code and data associated with the paper "Unsupervised Deep Learning for Structured Shape Matching"

The code for CVPR2019 paper "A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images"

3D Shape Generation Baselines in PyTorch.

Code for the paper "Image2Mesh: A Learning Framework for Single Image 3D Reconstruction"