A comparison of traditional CNNs and Generative networks for Image Style Transfer
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Updated
Aug 4, 2024 - Jupyter Notebook
A comparison of traditional CNNs and Generative networks for Image Style Transfer
Fast Cross-Domain Unsupervised Object detection through Online Style Transfer
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.
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Novel framework for Zero-Shot Style Alignment in Text-to-Image generation, incorporating Multi-Modal Context-Awareness and Multi-Reference Style Alignment, using minimal attention sharing, ensuring consistent style transfer without fine-tuning.
Interactive Style Transfer GUI - a system that pioneers the integration of neural style transfer with precise localization for a fully customizable artistic experience.
PyTorch Implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"
the tensorflow implementation of adain:arbitrary image style transfer
Neural Style transfer experiment with AdaIn operator : https://arxiv.org/abs/1703.06868
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"
The re-implementation of style-based generator idea
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).
TensorFlow implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization" by Xun Huang and Serge Belongie
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