#3d-deep-learning
Showing 12 of 12 repositories tagged #3d-deep-learning, ranked by stars
A PyTorch Library for Accelerating 3D Deep Learning Research
pyntcloud is a Python library for working with 3D point clouds.
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
Fuse multiple depth frames into a TSDF voxel volume.
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
Devkit for 3D -- Some utils for 3D object detection based on Numpy and Pytorch