Henry Cheng Zhao's repositories
NDT-Transformer
This github is a supplementary material including data, code, trained model and demo for the paper "NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation".
Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP - Automatically Detect , Segment and Generate Anything with Image and Text Inputs
Map2DFusion
This is an open-source implementation of paper: Real-time Incremental UAV Image Mosaicing based on Monocular SLAM.
ndt_localizer
This robot lcoalisation package for lidar-map based localisation using multi-sensor state estimation.
waymo_kitti_converter
A toolkit for Waymo Open Dataset <-> KITTI conversions
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
cycleGAN-PyTorch
A clean and lucid implementation of cycleGAN using PyTorch
DLoopDetector
Fast loop detector for sequences of monocular images
gradslam
gradslam is an open source differentiable dense SLAM library for PyTorch
hero_radar_odometry
Unsupervised radar odometry combining deep learning with classical state estimation
LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
lidar-slam-detection
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
maplab
An open visual-inertial mapping framework.
models
Models and examples built with TensorFlow
NeuralRecon
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
pix2pix-tensorflow
TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
point-transformer-pytorch
Implementation of the Point Transformer layer, in Pytorch
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-superglue
SuperGlue: Learning Feature Matching with Graph Neural Networks
sdfstudio
A Unified Framework for Surface Reconstruction
SHINE_mapping
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA' 23)
SST
Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”
StarGAN-Tensorflow
Implementation of StarGAN in Tensorflow
tf-gqn
Tensorflow implementation of Neural Scene Representation and Rendering
VAE-Tensorflow
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
ViNet
ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction
Waymo_Kitti_converter1
Scripts for converting Waymo Open Dataset to Kitti dataset format,