Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale VS Robo-Semantic-Segmentation

Compare Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale vs Robo-Semantic-Segmentation 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 Robo-Semantic-Segmentation
1 1
274 0
- -
1.8 0.0
10 months ago over 3 years ago
Python Python
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.

Robo-Semantic-Segmentation

Posts with mentions or reviews of Robo-Semantic-Segmentation. We have used some of these posts to build our list of alternatives and similar projects.
  • Where do I even start? Image segmentation.
    1 project | /r/learnprogramming | 27 Jan 2021
    Hi, you can look at this https://github.com/The-ML-Hero/Robo-Semantic-Segmentation/ which is my GitHub repo. This repo is all about segmentation specifically semantic segmentation, I have a couple of questions where did you get the dataset? and do you have the dataset ready?. But before you use the code be sure to understand the workings of semantic image segmentation architectures. The repo is implemented in Pytorch which is in the python language.

What are some alternatives?

When comparing Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale and Robo-Semantic-Segmentation 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.

ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL

ArtLine - A Deep Learning based project for creating line art portraits.

torch-metrics - Metrics for model evaluation in pytorch

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

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

torch-points3d - Pytorch framework for doing deep learning on point clouds.

Implicit-Internal-Video-Inpainting - [ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation

TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch - Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.