xjtushy's repositories
kitti360Scripts
This repository contains utility scripts for the KITTI-360 dataset.
PointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
Pointnet2.PyTorch
A faster implementation of PointNet++ based on PyTorch.
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
LIDAR-Semantic-Segmentation
Semantic segmentation of LIDAR point clouds from the KITTI-360 dataset using a modified PointNet2. This is a Python and PyTorch based implementation using Jupyter Notebooks.
pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointASNL
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）
mpeg-pcc-tmc2
Video codec based point cloud compression (V-PCC) test model
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
how-to-write-makefile
跟我一起写Makefile重制版
mpeg-pcc-tmc13
Geometry based point cloud compression (G-PCC) test model
Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
PCGCv1
Point Cloud Geometry Compression
SoTA-Point-Cloud
🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
draco
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
PointNet12
Combination of Pointnet and Pointnet++ with KITTI Point Cloud Semantic Segmentation Dataset
pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
XJTU-Share
西安交通大学课程资料共享计划
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
BASNet
Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection
LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
lihang-code
《统计学习方法》的代码实现
vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
eForest
This is the official implementation for the paper 'AutoEncoder by Forest'