565 Open source projects that are alternatives of or similar to Sketch To Art

Learning Chinese Character style with conditional GAN

🙄 Difficult algorithm, Simple code.

An implementation of Pix2Pix in Tensorflow for use with frames from films

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Interactive Image Generation via Generative Adversarial Networks

Page to PAGE Layout Analysis Tool

A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

A minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).

Face generator from sketches using cGAN (pix2pix) model

Symbolic Music Genre Transfer with CycleGAN

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Multimodal Unsupervised Image-to-Image Translation

StarNet

Unsupervised Image-to-Image Translation

Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

DeepNude Command Line Version With Watermark Removed

(CVPR 2019 Oral) Style Transfer with Geometric Deformation

Image-to-Image Translation in PyTorch

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Unity Post Processing with Convolution Neural Network

DeepNude source code，without watermark，with demo and model download link，one command to run offline，GAN/Pytorch/pix2pix/pic2pic

Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.

Image-to-image translation with conditional adversarial nets

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Focal Frequency Loss for Generative Models

A lightweight pix2pix Tensorflow implementation.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Image Deblurring using Generative Adversarial Networks

Deploy and scale serverless machine learning app - in 4 steps.

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Neural Paiters

Pytorch implementation of pix2pix for various datasets.

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

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.

A very simple generative adversarial network (GAN) in PyTorch

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

Data-parallel image stylization using Caffe.

Comparison of Generative Models in Tensorflow

People removal in images using Pix2Pix and YOLO.

An implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

Chainer implementation of Wasserstein GAN

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Using Machine Learning to predict the type of exercise from movement data

3DGAN-Pytorch

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Privacy-preserving generative deep neural networks support clinical data sharing