Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

TensorFlow (Python API) implementation of Neural Style

Learning Chinese Character style with conditional GAN

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

Four landmark detection algorithms, implemented in PyTorch.

PyTorch implementation of neural style transfer algorithm

Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

Neural style transfer in PyTorch.

A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

Audio style transfer with shallow random parameters CNN.

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).

Mobile AI Compute Engine Model Zoo

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 Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨