shapenet
There are 38 repositories under shapenet topic.
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
mit-han-lab/pvcnn
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
hzxie/Pix2Vox
The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)
walsvid/Pixel2MeshPlusPlus
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.
NikolaZubic/2dimageto3dmodel
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
Xharlie/DISN
(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
yifita/deep_cage
code for "Neural Cages for Detail-Preserving 3D Deformations"
xcyan/nips16_PTN
Torch Implementation of NIPS'16 paper: Perspective Transformer Nets
cgtuebingen/Flex-Convolution
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
HaochengWan/PVT
PVT: Point-Voxel Transformer for 3D Deep Learning
yinyunie/depth_renderer
Rendering color and depth images for ShapeNet models.
justanhduc/graphx-conv
Official implementation of GraphX-Convolution
diegovalsesia/GraphCNN-GAN
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
optas/shapeglot
ShapeGlot: Learning Language for Shape Differentiation
diegovalsesia/GPDNet
Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
hkust-vgd/shrec17
Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track
Chinmay26/Multi-Viewpoint-Image-generation
Given an image and a target viewpoint, generate synthetic image in the target viewpoint
qq456cvb/SPRIN
PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
alitabet/morton-net
PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.
dhyuan99/VecKM
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
CDInstitute/CompoNET
CompoNET: geometric deep learning approach in architecture. From a single-image generates a building with all its components
moeinp70/Point-Planenet
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
joycenerd/3D_Augmentation
3D point cloud data augmentation
AlexsaseXie/occnet-depth
A new method to preprocess ShapeNet to get minimal shift 3D ground truth; 3 Stage single-view 3D reconstruction method; Point cloud surface reconstruction without input normals.
mzguntalan/mercury
Unsupervised Point Cloud Pose Canonicalization By Approximating the Plane/s of Symmetry
NiteshBharadwaj/pytorch-unsup-pc
Pytorch Implementation of "Unsupervised Learning of Shape and Pose with Differentiable Point Clouds". ShapeNet->CNN->PointCloud->Differentiable Rendering->Backprop
skim2257/AtlasNet
University of Toronto CSC2547 Final Project by Sejin Kim, Ioannis Xarchakos and Varun Pandya
wangqiang9/binvox_rw
Python module to read and write .binvox files, Contributions come from dimatura/binvox-rw-py. Fixed some bugs and packaged them into installable Python packages。
dilaragokay/3D-point-capsule-networks
Perturbation experiments on the latent capsules of 3D Point Capsule Networks by Zhao et al.
Jianxff/PRS-Net
Implement of PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
KryptixOne/Spherical-Data-Generation-For-3D-Meshes
Data Generation: Data is a spherical projection of the 3-D meshes.
matija-speletic/python-shapenet-renderer
A simple Python script to batch render objects from the ShapeNet dataset from a number of views using pyrender.
Sohambasu07/3DQD_ShapeGeneration
PyTorch implementation of 3DQD with modifications (Deep Learning Lab - Uni Freiburg)
reshalfahsi/point-cloud-segmentation
Point Cloud Segmentation Using PointNet