shapenet

There are 41 repositories under shapenet topic.

  • yanx27/Pointnet_Pointnet2_pytorch

    PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

    Language:Python4.4k19280976

  • yangyanli/PointCNN

    PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

    Language:Python1.4k55228365

  • mit-han-lab/pvcnn

    [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

    Language:Python6702179132

  • hzxie/Pix2Vox

    The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (ICCV 2019)

    Language:Python52714114118

  • walsvid/Pixel2MeshPlusPlus

    [ICCV2019] Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation.

    Language:Python378133059
  • 2dimageto3dmodel

    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.

    Language:Python27071227

  • Xharlie/DISN

    (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

    Language:C++18453227

  • yifita/deep_cage

    code for "Neural Cages for Detail-Preserving 3D Deformations"

    Language:Python17162017

  • xcyan/nips16_PTN

    Torch Implementation of NIPS'16 paper: Perspective Transformer Nets

    Language:Lua14481431

  • cgtuebingen/Flex-Convolution

    Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

    Language:C++117181211

  • yinyunie/depth_renderer

    Rendering color and depth images for ShapeNet models.

    Language:Python9521021

  • HaochengWan/PVT

    PVT: Point-Voxel Transformer for 3D Deep Learning

    Language:Python9421210

  • justanhduc/graphx-conv

    Official implementation of GraphX-Convolution

    Language:Python6251617

  • 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

    Language:Python58249

  • optas/shapeglot

    ShapeGlot: Learning Language for Shape Differentiation

    Language:Jupyter Notebook42335

  • hkust-vgd/shrec17

    Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track

    Language:Python313410

  • dhyuan99/VecKM

    Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.

    Language:Python30414

  • diegovalsesia/GPDNet

    Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)

    Language:Python30287

  • qq456cvb/SPRIN

    PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features

    Language:Python30604

  • Chinmay26/Multi-Viewpoint-Image-generation

    Given an image and a target viewpoint, generate synthetic image in the target viewpoint

    Language:Jupyter Notebook27514

  • 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.

    Language:Python21434

  • CDInstitute/CompoNET

    CompoNET: geometric deep learning approach in architecture. From a single-image generates a building with all its components

    Language:Jupyter Notebook13115

  • moeinp70/Point-Planenet

    Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis

    Language:Python8202

  • joycenerd/3D_Augmentation

    3D point cloud data augmentation

    Language:Jupyter Notebook6102

  • pranavbajoria93/3D_Reconstruction_3DR2N2

    Language:Python6302

  • 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.

    Language:Python4100

  • mzguntalan/mercury

    Unsupervised Point Cloud Pose Canonicalization By Approximating the Plane/s of Symmetry

    Language:Python4101

  • 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。

    Language:Python4101

  • NiteshBharadwaj/pytorch-unsup-pc

    Pytorch Implementation of "Unsupervised Learning of Shape and Pose with Differentiable Point Clouds". ShapeNet->CNN->PointCloud->Differentiable Rendering->Backprop

    Language:Jupyter Notebook3301

  • skim2257/AtlasNet

    University of Toronto CSC2547 Final Project by Sejin Kim, Ioannis Xarchakos and Varun Pandya

    Language:C++3100

  • dilaragokay/3D-point-capsule-networks

    Perturbation experiments on the latent capsules of 3D Point Capsule Networks by Zhao et al.

    Language:Jupyter Notebook1201

  • inyoungoh-cde/PointNet_PointNet2_binary_pytorch

    This repo is implementation for PointNet and PointNet++ for binary (0 or 1) in pytorch.

    Language:Python1100

  • Jianxff/PRS-Net

    Implement of PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models

    Language:Python1100

  • KryptixOne/Spherical-Data-Generation-For-3D-Meshes

    Data Generation: Data is a spherical projection of the 3-D meshes.

    Language:Python1100

  • anton325/3DDiffusion

    3D Gaussian Splatting scene generation using diffusion

    Language:Jupyter Notebook00

  • matija-speletic/python-shapenet-renderer

    A simple Python script to batch render objects from the ShapeNet dataset from a number of views using pyrender.

    Language:Python0200