Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale VS ArtLine

Compare Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale vs ArtLine and see what are their differences.

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" (by TZYSJTU)
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Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale ArtLine
1 12
274 3,531
- -
1.8 1.4
9 months ago about 1 year ago
Python Jupyter Notebook
Creative Commons Zero v1.0 Universal MIT License
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Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale

Posts with mentions or reviews of Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-25.

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 Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale and ArtLine you can also consider the following projects:

mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Toon-Me - A Deep Learning project to Toon Portrait Images

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]