shoushuangpei Goto Github PK

3dn

3DN: 3D Deformation Network, CVPR 2019

520

a-single-view-3d-object-point-cloud-reconstruction

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=authoralert B. Li, Y. Zhang, B. Zhao and H. Shao, "3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network," in IEEE Access, vol. 8, pp. 83782-83790, 2020, doi: 10.1109/ACCESS.2020.2992554.

dpf-nets

Flow-based generative model for 3D point clouds.

generation3d

3D Shape Generation Baselines in PyTorch.

graphx-conv

Official implementation of GraphX-Convolution

graphx-pytorch-tum

hmd

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

image2mesh

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

mgcn

MGCN: Descriptor Learning using Multiscale GCNs (SIGGRAPH 2020)

pcdnet

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

pytorch-resnet34

shoushuangpei

Config files for my GitHub profile.

single-image-guided-deformation-network-for-point-cloud-reconstruction

skeletonbridgerecon

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

surfmnet

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

template_ffd

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

tensorboardx

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