There are 2 repositories under tsdf topic.
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Fuse multiple depth frames into a TSDF voxel volume.
Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments
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)
Applying Open3D functions to integrate experimentally measured color and depth frames into a 3D object.
Adversarial Semantic Scene Completion from a Single Depth Image, accepted in 3DV 2018
yak (yet another kinfu) is a library and ROS wrapper for Truncated Signed Distance Fields (TSDFs).
6D Monte Carlo Localization in 3D TSDF maps
Semantic-TSDF for Self-driving Static Scene Reconstruction
Semantic Instance Fusion for 3D reconstruction of RGB-D indoor images in python
standalone and "ros-free" python wrapper of voxblox (online SDF generator from point clouds)
A list of paper related to Geometry Learning.
Real-time 3D Reconstruction with Semantic Segmentation
This repository implements a coherent 3D geometry in the form of Truncated Sign Distance Function (TSDF) by fusing a sequence of depth images.
demo / examples for tsdf_localization package
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
PyTorch implementation of 3DQD with modifications (Deep Learning Lab - Uni Freiburg)