PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
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Updated
Oct 15, 2021 - Python
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features
This is the official repository of the original Point Transformer architecture.
The code repository of DGCNN on FPGA: Acceleration of The Point Cloud Classifier Using FPGAs
Source code for 3D volumetric denoising auto-encoder (ECCV-16)
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
M.Sc Thesis - 3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks
Compressed really aesthetic handling of the humongous ModelNet10 3D Vision dataset
Multimodal alignment of images and point clouds on the Modelnet-40-C dataset
PointNet with Princeton's ModelNet dataset
This repo mainly consists of point cloud computing using ModelNet40 dataset.
Final Project of Neural Network & Deep Learning Exam (A.Y. 2022/2023) from Prof. Pegoraro
Re-implemented PointNet for classify 3D point clouds, apply to ModelNet10
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