su ning's repositories
A-Simple-Stereo-SLAM-System-with-Deep-Loop-Closing
A simple stereo SLAM system with deep loop closing module. May be useful and friendly for SLAM beginners.
badslam
Bundle Adjusted Direct RGB-D SLAM
DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
DeepFactors
Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation
DefSLAM
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel
DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
depth-refinement-and-normal-estimation
A graph-based framework to refine a noisy and possibly incomplete depth map and estimate the corresponding normal map.
mono-uncertainty
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
Normal-Assisted-Stereo
[CVPR 2020] Normal Assisted Stereo Depth Estimation
odometry
Training Deep SLAM on Single Frames https://arxiv.org/abs/1912.05405
opencv_contrib
Repository for OpenCV's extra modules
OpenREALM
OpenREALM is a pipeline for real-time aerial mapping utilizing visual SLAM and 3D reconstruction frameworks.
pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data.
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ReconNet-PyTorch
A non-iterative algorithm to reconstruct images from compressively sensed measurements.
RidgeSfM
Ridge SfM Structure from Motion via robust pairwise matching under depth uncertainty
saic_depth_completion
Official implementation of "Decoder Modulation for Indoor Depth Completion" https://arxiv.org/abs/2005.08607
Semantic_SLAM-1
Semantic SLAM using ROS, ORB SLAM, PSPNet101
SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
stereo-from-mono
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
supersurfel_fusion
Dense RGB-D SLAM system RGB-D SLAM articulated around a supersurfel-based 3D representation for fast, lightweight and compact mapping in indoor environment.
TernausNetV2
TernausNetV2: Fully Convolutional Network for Instance Segmentation
TorchSSC
Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)
voxblox-plusplus
A volumetric object-level semantic mapping framework.