MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
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Updated
Oct 4, 2021 - C++
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
[CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM
KinectFusion implemented in Python with PyTorch
MD-SLAM: Multi-cue Direct SLAM. Implements the first photometric LiDAR SLAM pipeline, that works withouth any explicit geometrical assumption. Universal approach, working independently for RGB-D and LiDAR.
Code for CVPR 2018 paper --- Texture Mapping for 3D Reconstruction with RGB-D Sensor
[ECCV'18 Oral] PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction
Photometric SLAM and Bundle Adjustment for RGB-D and LiDAR in CUDA.
Code for ICRA 2019 work "MID-Fusion Octree-based Object-Level Multi-Instance Dynamic SLAM"
Code for RA-L work "Deep Probabilistic Feature-metric Tracking"
Dockerfile for the use of [ElasticFusion](https://github.com/mp3guy/ElasticFusion)
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