scannet

Pytorch framework for doing deep learning on point clouds.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

Grid-GCN for Fast and Scalable Point Cloud Learning

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis

ENet for 2D semantic segmentation in ScanNet

Tool that allows you to view the RGBD video of a ScanNet sens file

Senior Design project that presents scanned devices in your network in a user-friendly GUI