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2019ws_highperformancecomputing

High Performance Computing Assignments, Winter term 2019, Chalmers University

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

colabnotebooks

cv

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

edge_extraction

Fast and robust algorithm to extract edges in unorganized point clouds

gspn

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

jsis3d

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

manifold

Convert any Triangle Mesh to Watertight Manifold

manifoldplus

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

partnet

Code for PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation

randla-net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

rry025-image-processing

Project Work for Chalmers Course: RRY025

tma265-numerical-linear-algebra

Course Work for Chalmers Course: TMA265

tms016-spatial-statistics-and-image-analysis

Project Work for Chalmers Course: TMS016

torch-points3d

Pytorch framework for doing deep learning on point clouds.

triangle-net

(paper code) Triangle-Net: Towards Robustness in Point Cloud Learning

wypr

Code release for CVPR 2021 paper "3D Spatial Recognition without Spatially Labeled 3D"