Pinned Repositories
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
beingDave's Repositories
beingDave/2019WS_HighPerformanceComputing
High Performance Computing Assignments, Winter term 2019, Chalmers University
beingDave/awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
beingDave/ColabNotebooks
beingDave/CV
beingDave/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
beingDave/Edge_Extraction
Fast and robust algorithm to extract edges in unorganized point clouds
beingDave/GSPN
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
beingDave/jsis3d
[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds
beingDave/Manifold
Convert any Triangle Mesh to Watertight Manifold
beingDave/ManifoldPlus
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups
beingDave/PartNet
Code for PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
beingDave/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
beingDave/RRY025-Image-Processing
Project Work for Chalmers Course: RRY025
beingDave/TMA265-Numerical-Linear-Algebra
Course Work for Chalmers Course: TMA265
beingDave/TMS016-Spatial-Statistics-and-Image-Analysis
Project Work for Chalmers Course: TMS016
beingDave/torch-points3d
Pytorch framework for doing deep learning on point clouds.
beingDave/Triangle-Net
(paper code) Triangle-Net: Towards Robustness in Point Cloud Learning
beingDave/WyPR
Code release for CVPR 2021 paper "3D Spatial Recognition without Spatially Labeled 3D"