anime-segmentation vs pointnet

anime-segmentation

high-accuracy segmentation for anime character (by SkyTNT)

Anime Segmentation

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (by charlesq34)

point-cloud Classification Segmentation neural-network Tensorflow geometry-processing

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anime-segmentation		pointnet
	Project
1	Mentions	1
576	Stars	4,592
-	Growth	-
4.7	Activity	0.0
12 months ago	Latest Commit	6 months ago
Python	Language	Python
Apache License 2.0	License	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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

anime-segmentation

Posts with mentions or reviews of anime-segmentation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-30.

Ask HN: How does MS-Teams, Meets and Zoom virtual background works?
3 projects | news.ycombinator.com | 30 Nov 2023

It is also easy to train your own model, I've used code from https://github.com/SkyTNT/anime-segmentation with my own data to train an image segmentation model to separate objects with really good results.

pointnet

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

How do I balance a pointcloud dataset without compromising it?
1 project | /r/learnmachinelearning | 25 Oct 2022

I am using pointnet, A neural network which directly processes point clouds and labels them on a per-point basis.

What are some alternatives?

When comparing anime-segmentation and pointnet you can also consider the following projects:

yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

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

nnUNet

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

rembg - Rembg is a tool to remove images background

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

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.

segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.

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

pointnet2 - PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space