pointnet2 VS pointnet

Compare pointnet2 vs pointnet and see what are their differences.

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (by charlesq34)

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (by charlesq34)
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pointnet2 pointnet
2 1
2,875 4,565
- -
0.0 0.0
over 1 year ago 5 months ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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pointnet2

Posts with mentions or reviews of pointnet2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-15.

pointnet

Posts with mentions or reviews of pointnet. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pointnet2 and pointnet you can also consider the following projects:

Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

ttach - Image Test Time Augmentation with PyTorch!

h-former - H-Former is a VAE for generating in-between fonts (or combining fonts). Its encoder uses a Point net and transformer to compute a code vector of glyph. Its decoder is composed of multiple independent decoders which act on a code vector to reconstruct a point cloud representing a glpyh.

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

AREnets - Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation

RAFT

anime-segmentation - high-accuracy segmentation for anime character