In this study, we work to transfer the pattern to the basic face image from the pattern face image, by adjusting the latent space and moving within it.
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Updated
Mar 28, 2024 - Jupyter Notebook
In this study, we work to transfer the pattern to the basic face image from the pattern face image, by adjusting the latent space and moving within it.
Interactive Style Transfer GUI - a system that pioneers the integration of neural style transfer with precise localization for a fully customizable artistic experience.
Can we perform face hallucination using limited set of unaligned pairs?
Artistic image style transfer implement in pytorch
Implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]
PyTorch implementation of "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"
PyTorch Implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"
Fast Cross-Domain Unsupervised Object detection through Online Style Transfer
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).
Pytorch implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]
The re-implementation of style-based generator idea
Neural Style transfer experiment with AdaIn operator : https://arxiv.org/abs/1703.06868
TensorFlow implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization" by Xun Huang and Serge Belongie
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
the tensorflow implementation of adain:arbitrary image style transfer
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