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Name: xjtushy
Type: User
Name: xjtushy
Type: User
A list of papers and datasets about point cloud analysis (processing)
Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
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.
This is the official implementation for the paper 'AutoEncoder by Forest'
跟我一起写Makefile重制版
This repository contains utility scripts for the KITTI-360 dataset.
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
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.
《统计学习方法》的代码实现
Geometry based point cloud compression (G-PCC) test model
Video codec based point cloud compression (V-PCC) test model
Point Cloud Geometry Compression
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Combination of Pointnet and Pointnet++ with KITTI Point Cloud Semantic Segmentation Dataset
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
A faster implementation of PointNet++ based on PyTorch.
PyTorch implementation of Pointnet2/Pointnet++
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
西安交通大学课程资料共享计划
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