PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
#计算机科学#PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (ICCV 2019)
[ICCV2019] Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation.
#计算机科学#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...
(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
#计算机科学#Torch Implementation of NIPS'16 paper: Perspective Transformer Nets
#计算机科学#Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
Rendering color and depth images for ShapeNet models.
PVT: Point-Voxel Transformer for 3D Deep Learning
#计算机科学#Official implementation of GraphX-Convolution
Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
Given an image and a target viewpoint, generate synthetic image in the target viewpoint