Toon-Me VS ArtLine

Compare Toon-Me vs ArtLine and see what are their differences.

Toon-Me

A Deep Learning project to Toon Portrait Images (by vijishmadhavan)
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Toon-Me ArtLine
71 12
397 3,531
- -
0.0 1.4
over 3 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only MIT License
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.

Toon-Me

Posts with mentions or reviews of Toon-Me. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-09.

ArtLine

Posts with mentions or reviews of ArtLine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-25.

What are some alternatives?

When comparing Toon-Me and ArtLine you can also consider the following projects:

animegan2-pytorch - PyTorch implementation of AnimeGANv2

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

S2ML-Generators - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them

rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]

colab_openvino - OpenVINO如何安裝在Colab並執行mobilenet-V1影像分類及mobilenet-SSD物件偵測範例

S2ML-Art-Generator - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators]

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale - This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"