Neural-Style-Transfer VS AI-Art

Compare Neural-Style-Transfer vs AI-Art and see what are their differences.

Neural-Style-Transfer

Pytorch implementation of Nueral Style transfer (by abhinav-TB)

AI-Art

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream! (by Adi-iitd)
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Neural-Style-Transfer AI-Art
3 1
9 379
- -
0.0 0.0
almost 3 years ago almost 2 years ago
Python Python
- MIT License
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Neural-Style-Transfer

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

AI-Art

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

What are some alternatives?

When comparing Neural-Style-Transfer and AI-Art you can also consider the following projects:

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

cycle-gan-pytorch - This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset.

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

ada-conv-pytorch

neural-style-pt - PyTorch implementation of neural style transfer algorithm

image-crop-analysis - Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.

pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.