There are 19 repositories under neural-style-transfer topic.
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
PyTorch implementation of neural style transfer algorithm
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.
PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.
[CVPR'20] Collaborative Distillation for Ultra-Resolution Universal Style Transfer (PyTorch)
[AAAI 2022] Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
UE5Dream - Local version
Unity Post Processing with Convolution Neural Network
Awesome 3D Stylization - Advances in 3D Neural Stylization
Reconstruction of the fast neural style transfer (Johnson et al.). Some portions of the paper have been improved by the follow-up work like the instance normalization, etc. Checkout transformer_net.py's header for details.
Neural Style Transfer for Fluids
Official Implementation of Domain-Aware Universal Style Transfer
Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.
PyTorch implementation of "Universal Style Transfer via Feature Trasforms"
Neural Style Transfer (pytorch ver.)
This is PyTorch Implementation of Neural Style Transfer Algorithm which is modified for Audios.
Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.
Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer
Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
AI Makerspace: Blueprints for developing AI applications with state-of-the-art technologies.
ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension
Transferring the style of one image to the contents of another image, using PyTorch and VGG19.
Reference code for the paper CAMS: Color-Aware Multi-Style Transfer.
Demonstration implementations of neural network image processing algorithms
Infinite Zoom For Style Transfer
Generating Art with Convolutional Neural Networks
🧑🏻🎤 Generate geometry-aware face caricatures using Style Transfer
Code and data release for ICCP 2022 paper "Time-of-Day Neural Style Transfer for Architectural Photographs".
Art Generation with Neural Style Transfer in 200 lines of code
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).
A virtual webcam that applies Neural Style Transfer to the physical webcam video stream and can be used like any other webcam in all types of video conferencing tools, such as zoom, skype, discord, teams...