Pinned Repositories
3D-Machine-Learning
A resource repository for 3D machine learning
awesome-point-cloud-analysis-2021
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Facial-Landmark-Detection
We propose a hardware-friendly, fast, and high-performance FLD algorithm.
pcc_attr_folding
Folding-based compression of point cloud attributes
Point-Transformers
Point Transformers
point_based_pcgc
Source Code of POINT CLOUD GEOMETRY COMPRESSION VIA NEURAL GRAPH SAMPLING in ICIP2021
PointCloud-Octree-Compression-
Matlab code for PointCloud Octree Compression
pyvot
A Python implementation of Monge optimal transportation
Tobii-Eye-Track
Collect eye movement signals by Tobii Eye Tracker 5
Heroism502's Repositories
Heroism502/diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Heroism502/pcc_attr_folding
Folding-based compression of point cloud attributes
Heroism502/Point-Transformers
Point Transformers
Heroism502/PointCloud-Octree-Compression-
Matlab code for PointCloud Octree Compression
Heroism502/Tobii-Eye-Track
Collect eye movement signals by Tobii Eye Tracker 5
Heroism502/AutoEncoder-PCGC
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.
Heroism502/awesome-pointcloud-processing
awesome PointCloud processing algorithm
Heroism502/bitswap
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
Heroism502/Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
Heroism502/Deep-Learning-for-LiDAR-Point-Clouds
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Heroism502/diffusion
Denoising Diffusion Probabilistic Models
Heroism502/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
Heroism502/learned_PCC
deep-learning based point cloud compression methods.
Heroism502/libmorton
C++ header-only library with methods to efficiently encode/decode Morton codes in/from 2D/3D coordinates
Heroism502/lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
Heroism502/lidar_generation
Code for "Deep Generative Models for LiDAR Data"
Heroism502/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Heroism502/lihang-code
《统计学习方法》的代码实现
Heroism502/MobileNet-SSD-TensorRT
Accelerate mobileNet-ssd with tensorRT
Heroism502/Octree-Guided-PCGC
Heroism502/OTA
Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.
Heroism502/pccomp_oct
Octree-based lossy point-cloud compression with open3d and numpy
Heroism502/pdalOctreeSplitPointCloud
The point cloud is split using the ‘pdal’ ‘octree’
Heroism502/Point-cloud-compression-by-RNN
Implementation of Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks
Heroism502/PointCloud
An octree approach to finding an appropriate splat size.
Heroism502/pyOMT
A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm
Heroism502/segmap
A map representation based on 3D segments
Heroism502/semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.