favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
Stars: ✭ 12 (-98.86%)
Keras-Style-TransferAn implementation of "A Neural Algorithm of Artistic Style" in Keras
Stars: ✭ 36 (-96.57%)
worldsBuilding Virtual Reality Worlds using Three.js
Stars: ✭ 23 (-97.81%)
Neural ToolsTools made for usage alongside artistic style transfer projects
Stars: ✭ 150 (-85.7%)
MeuralPaintTensorFlow implementation of CNN fast neural style transfer ⚡️ 🎨 🌌
Stars: ✭ 19 (-98.19%)
FaststyleTensorflow implementation of fast neural style transfer.
Stars: ✭ 170 (-83.79%)
Neural-TileA better tiling script for Neural-Style
Stars: ✭ 35 (-96.66%)
mix-stageOfficial Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)
Stars: ✭ 22 (-97.9%)
Msg NetMulti-style Generative Network for Real-time Transfer
Stars: ✭ 152 (-85.51%)
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
Stars: ✭ 25 (-97.62%)
Texture netsCode for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.
Stars: ✭ 1,147 (+9.34%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (-94.38%)
Neural Style PtPyTorch implementation of neural style transfer algorithm
Stars: ✭ 456 (-56.53%)
Style TransferA Keras Implementation of "A Neural Algorithm of Artistic Style"
Stars: ✭ 115 (-89.04%)
Vincent Ai ArtistStyle transfer using deep convolutional neural nets
Stars: ✭ 176 (-83.22%)
eccv16 attr2imgTorch Implemention of ECCV'16 paper: Attribute2Image
Stars: ✭ 93 (-91.13%)
Multimodal transfertensorflow implementation of 'Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer'
Stars: ✭ 31 (-97.04%)
Data Augmentation ReviewList of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
Stars: ✭ 785 (-25.17%)
Landmark DetectionFour landmark detection algorithms, implemented in PyTorch.
Stars: ✭ 747 (-28.79%)
Deep preset[WACV'21] Deep Preset: Blending and Retouching Photos with Color Style Transfer
Stars: ✭ 29 (-97.24%)
SnekSee https://github.com/inconvergent/weir instead
Stars: ✭ 696 (-33.65%)
Party ModeAn experimental music visualizer using d3.js and the web audio api.
Stars: ✭ 690 (-34.22%)
Rapping Neural NetworkRap song writing recurrent neural network trained on Kanye West's entire discography
Stars: ✭ 951 (-9.34%)
Stylized Neural PaintingOfficial Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
Stars: ✭ 663 (-36.8%)
MadlangMadlang is a language for generative literature
Stars: ✭ 44 (-95.81%)
Ali PytorchAdversarially Learned Inference in Pytorch
Stars: ✭ 27 (-97.43%)
SeganSpeech Enhancement Generative Adversarial Network in TensorFlow
Stars: ✭ 661 (-36.99%)
NodeboxNode-based data application for visualization and generative design
Stars: ✭ 647 (-38.32%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (-38.8%)
Deep Motion EditingAn end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
Stars: ✭ 620 (-40.9%)
Awesome Creative CodingCreative Coding: Generative Art, Data visualization, Interaction Design, Resources.
Stars: ✭ 8,696 (+728.98%)
Dcgan TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 6,963 (+563.78%)
Curva language for making art using mathematics
Stars: ✭ 853 (-18.68%)
Cartoongan TensorflowGenerate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
Stars: ✭ 587 (-44.04%)
EbsynthFast Example-based Image Synthesis and Style Transfer
Stars: ✭ 554 (-47.19%)
LigdreamNovel molecules from a reference shape!
Stars: ✭ 47 (-95.52%)
Neural Style本代码加入了神经风格迁移中文注释,更易理解,同时新加入begin.py可直接运行调试。
Stars: ✭ 42 (-96%)
Worlds2Building Virtual Reality Worlds using Three.js
Stars: ✭ 34 (-96.76%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+708.48%)
Pytorch AdainUnofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
Stars: ✭ 550 (-47.57%)
Style TransferStyle Transfer - Alia Bhatt (Google Colab)
Stars: ✭ 26 (-97.52%)
Code Package P5.jsCode package of the book: Generative Design – Creative Coding for the Web with JavaScript in p5.js
Stars: ✭ 547 (-47.86%)