730 Open source projects that are alternatives of or similar to Pytorch Pix2pix

Official implementation of Dynamical VAEs

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

由淺入深的深度學習資源 Collection of deep learning materials for everyone

core code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling

[CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation

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

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Open solution to the Mapping Challenge 🌎

Compute FID scores with PyTorch.

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

PyTorch implementation of UNet++ (Nested U-Net).

Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

Advanced Deep Learning with Keras, published by Packt

No description or website provided.

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Voice Conversion by CycleGAN (语音克隆/语音转换)：CycleGAN-VC3

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Synthetic structured data generators

Showcasing various fun adventures with GANs

U-Net Brain Tumor Segmentation

Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Pytorch implementation of Wasserstein GANs with Gradient Penalty

DeepNude with DreamNet improvements.

[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Create Anime Characters with MakeGirlsMoe

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

The Simplest DCGAN Implementation

人脸和动漫脸的互转

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Implementation of the mixup training method

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

pix2pix-Next-Frame-Prediction generates video by recursively generating images with pix2pix.

Adversarial Generation of Handwritten Text Images

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

Pytorch implementation of BicycleGAN with implementation details

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

A deep learning library to provide algs in pure Numpy or Tensorflow.

A semantic segmentation toolbox based on PyTorch

Evaluation framework for testing segmentation networks in Keras

pytorch 包教不包会

Automatic icon colorization using deep convolutional neural networks. "Towards Icon Design Using Machine Learning." In Stanford CS229, Fall 2017.

Ngx - Neural network based visual generator and mixer

Awesome Generative Adversarial Networks with tensorflow

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Code for the paper "Adversarial Generator-Encoder Networks"

An implementation of CycleGan using TensorFlow

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

🖼 A collection of high-quality anime faces.