Shi-Sheng Huang's repositories
SuperVoxelCuda
Cuda implementation of 3D SuperVoxel clustering
MinkowskiNet
This is a C++ Inteface of MinkowskiNet
octomap_cuda
This is a octomap library with cuda acceleration used for ros kinetic
DeepCompletionRelease
Deep Depth Completion of a Single RGB-D Image
DeepGlobalRegistration
[CVPR 2020 Oral] A differentiable framework for 3D registration
DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
differentiable_volumetric_rendering
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
ESANet
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
g2opy
Python binding of SLAM graph optimization framework g2o
gradslam
gradslam is an open source differentiable dense SLAM library for PyTorch
HumANav-Release
Human Active Navigation Dataset
iso-points
Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations
jsartoolkit5
Javascript ARToolKit v5.x
maplab
An open visual-inertial mapping framework.
MonoPort
Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live) Monocular Real-Time Volumetric Performance Capture(ECCV 2020)
morefusion
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
nerf
Code release for NeRF (Neural Radiance Fields)
point2mesh
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
Pointnet2.ScanNet
PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration
pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
surface-reconstruction-benchmark
A working copy of the code from "A Benchmark for Surface Reconstruction" by Berger et. Al
tsdf-fusion-python
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Visual_SLAM_Related_Research
视觉(语义) SLAM 相关研究跟踪
Wav2Lip
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.