This is the Pytorch implementation of "Learning Linear Transformations for Fast Arbitrary Style Transfer". https://github.com/sunshineatnoon/LinearStyleTransfer
基于TensorFlow.js的画风迁移演示 https://github.com/reiinakano/arbitrary-image-stylization-tfjs
Style transfer, deep learning, feature transform https://github.com/NVIDIA/FastPhotoStyle
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189 https://github.com/luanfujun/deep-painterly-harmonization
快速地转换任何图像的风格。据该项目自己的测试，在2015 Titan X显卡上将一幅MIT Stata Center的照片(1024x680)转换成弗朗西斯·毕卡比亚（Francis Picabia）的油画《Udnie》的风格只需要100毫秒。其速度之快甚至可以逐帧转换视频并合成一个可以播放的视频。 https://github.com/lengstrom/fast-style-transfer
Style2Paints基于TesnorFlow，可以根据给出的样例给素描线稿上色，甚至可以不参照任何样例自行决定上色方案 https://github.com/lllyasviel/style2paints
这个项目是PyTorch版的CycleGAN。CycleGAN利用对抗式生成网络实现图像到图像的转换，例如将莫奈、梵高的油画转换成风景照片，将夏季的照片转换成冬季，将照片中的苹果转换成橙子等。作者的网站上有更为详细的介绍(https://junyanz.github.io/CycleGAN/)。 https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
Pix2PixHD是高清照片级图像转换(https://arxiv.org/pdf/1711.11585.pdf)的pytorch实现。它可以将标签图转换成照片级别的图像，或根据面部标签图合成人物肖像。 https://github.com/NVIDIA/pix2pixHD
利用深度神经网络对声音进行风格转换。虽然还不完善，但该项目已经实现了将任意声音转换为凯特·温斯莱特的声音。 https://github.com/andabi/deep-voice-conversion
深度学习老照片自动着色与修复 https://github.com/jantic/DeOldify https://colab.research.google.com/github/jantic/DeOldify/blob/master/DeOldify_colab.ipynb
CartoonGAN: Generative Adversarial Networks for Photo Cartoonization https://github.com/znxlwm/pytorch-CartoonGAN
MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer https://github.com/WellyZhang/MetaStyle
人人都能成为艺术家，用python+OpenCV实现世界名画风格迁移 https://mbd.baidu.com/newspage/data/landingshare?pageType=1&isBdboxFrom=1&context=%7B%22nid%22%3A%22news_9130260126327074330%22%2C%22sourceFrom%22%3A%22bjh%22%7D
deep-painterly-harmonization 一个基于深度学习的开源项目，让图片可以毫无违和感的融入到绘画作品中 https://arxiv.org/abs/1804.03189 https://github.com/luanfujun/deep-painterly-harmonization
deep-photo-styletransfer 一个基于深度学习的开源项目，利用了深度卷积网络来进行摄影风格转换，瞬间切换图片风格 https://github.com/luanfujun/deep-photo-styletransfer
Learning multi-domain multi-modality I2I translation https://github.com/HsinYingLee/MDMM
Attention-aware Multi-stroke Style Transfer https://github.com/JianqiangRen/AAMS
PyTorch implementation of the Delete, Retrieve Generate style transfer algorithm https://github.com/rpryzant/delete_retrieve_generate
Photorealistic Style Transfer via Wavelet Transforms https://github.com/ClovaAI/WCT2
Style Transfer by Relaxed Optimal Transport and Self-Similarity https://github.com/nkolkin13/STROTSS
https://github.com/mnicnc404/CartoonGan-tensorflow
ETNet: Error Transition Network for Arbitrary Style Transfer https://github.com/zhijieW94/ETNet
Content and Style Disentanglement for Artistic Style Transfer https://github.com/CompVis/content-style-disentangled-ST
用Python快速实现图片的风格迁移 https://mp.weixin.qq.com/s/A5hcU5kZlSW0qx6BJ5UIyA
Realtime Coherent Style Transfer for Videos https://github.com/safwankdb/ReCoNet-PyTorch
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation https://arxiv.org/abs/1907.11004
End-to-end Projector Photometric Compensation (CVPR'19 Oral) https://github.com/BingyaoHuang/CompenNet
Ebsynth：快速示例图片合成与画风迁移 https://github.com/jamriska/ebsynth
对抗鲁棒分类器神经网络画风迁移 https://reiinakano.com/2019/06/21/robust-neural-style-transfer.html
【用vanilla SGD代替L-BFGS重写的Keras神经网络画风迁移】 https://colab.research.google.com/drive/1H-lNMxVF9NPME6oZVphFRoi7yglJMZxP
Anime4KCPP：动漫类图像超分辨率Anime4K算法的C++高效实现 https://github.com/TianZerL/Anime4KCPP
机器学习艺术Colabs集锦 https://github.com/dvschultz/ml-art-colabs
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer https://www.arxiv-vanity.com/papers/2007.05146/
Deep Preset: Blending and Retouching Photos with Color Style Transfer https://github.com/minhmanho/deep_preset
《Deformable Style Transfer》 https://github.com/sunniesuhyoung/DST
《Style is a Distribution of Features》 https://github.com/aigagror/wasserstein-style-transfer
[ECCV 2020] Domain-Specific Mappings for Generative Adversarial Style Transfer https://github.com/acht7111020/DSMAP
【(Colabs)图片/视频画风迁移】 https://github.com/tg-bomze/Style-Transfer-Collection
风格化神经绘画——生动逼真、画风可控的图像-绘画艺术转换 https://github.com/jiupinjia/stylized-neural-painting
SHAD3S：草图暗面&阴影模型 https://github.com/DelTA-Lab-IITK/shad3s
ArtLine：基于深度学习的线条艺术肖像创作项目 https://github.com/vijishmadhavan/ArtLine
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation https://github.com/rikiyay/style-transfer-for-digital-pathology
Framework for Neural Style Transfer (NST) built upon PyTorch https://github.com/pmeier/pystiche
An unofficial implementation of Joint Bilateral Learning for Real-time Universal hotorealistic Style Transfer
https://github.com/mousecpn/Joint-Bilateral-Learning
Improving Object Detection in Art Images Using Only Style Transfer https://arxiv.org/abs/2102.06529
《Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization》(2021) github.com/czczup/URST
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes https://www.arxiv-vanity.com/papers/2103.17185
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows (CVPR 2021) github.com/pkuanjie/ArtFlow
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation (CVPR 2021) github.com/betterze/StyleSpace
《ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement》(2021) github.com/yuval-alaluf/restyle-encoder
《Rethinking and Improving the Robustness of Image Style Transfer》(CVPR 2021) github.com/peiwang062/swag
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer https://www.arxiv-vanity.com/papers/2104.10064
《FaceBlit: Instant Real-Time Example-Based Style Transfer to Facial Videos》(2021) github.com/AnetaTexler/FaceBlit
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer (CVPR 2020) github.com/nnaisense/conditional-style-transfer
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-image Translation (CVPR 2021) github.com/yhlleo/SmoothingLatentSpace
《StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer》(NAACL 2021) github.com/lvyiwei1/StylePTB
《CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation》(CVPR 2021) github.com/microsoft/CoCosNet-v2
github.com/Jeeseung-Park/Styleformer
TextStyleBrush：只用一个词模仿图像中的文字的风格 https://ai.facebook.com/blog/ai-can-now-emulate-text-style-in-images-in-one-shot-using-just-a-single-word https://ai.facebook.com/research/publications/textstylebrush-transfer-of-text-aesthetics-from-a-single-example/
SinIR: Efficient General Image Manipulation with Single Image Reconstruction github.com/YooJiHyeong/SinIR
《Styleformer: Transformer based Generative Adversarial Networks with Style Vector》(2021) github.com/Jeeseung-Park/Styleformer
《Anisotropic Stroke Control for Multiple Artists Style Transfer》(2021) github.com/neuralchen/ASMAGAN
《In the light of feature distributions: Moment matching for Neural Style Transfer》(CVPR 2021) github.com/D1noFuzi/cmd_styletransfer
Domain-Aware Universal Style Transfer github.com/Kibeom-Hong/Domain-Aware-Style-Transfer
Keras实例教程：AdaIN神经网络画风迁移 https://keras.io/examples/generative/adain/
MMGEN-FaceStylor人脸风格化 github.com/open-mmlab/MMGEN-FaceStylor
https://arxiv.org/abs/2201.00424
不错的照片转油画效果(SIGGRAPH 98) ithub.com/hertzmann/painterJava
和AI艺术生成相关的Colab Notebooks集锦 https://peakd.com/hive-177949/@kaliyuga/kaliyugas-library-of-ai-google-colab-notebooks
Real-Time Portrait Stylization on the Edge https://arxiv.org/abs/2206.01244
'「One Last Image」One Last Kiss 风格封面生成器' by itorr GitHub: github.com/itorr/one-last-image