539 Open source projects that are alternatives of or similar to gzsl-od

Project Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]

Focal Frequency Loss for Generative Models

The Roadmap to Learn Generative Adversarial Networks (GANs)

Improving MMD-GAN training with repulsive loss function

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

This repository contains a new generative model of chatbot based on seq2seq modeling.

Keras implementation for Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition

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

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Conditional GAN for generating synthetic tabular data.

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

The Simplest DCGAN Implementation

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

[CVPR2020] Adversarial Latent Autoencoders

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

Tutorial on GANs

Generate image from text with Generative Adversarial Network

TextBox is an open-source library for building text generation system.

chainer implementation of pix2pix

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Temporal action proposals

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Awesome GAN for Medical Imaging

The simplest implementation toward the idea of Re-cycle GAN

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Generative Adversarial Networks in PyTorch

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

An extremely simple generative adversarial network, built with TensorFlow

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

Invert the color of MNIST images with PyTorch

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

things I help(ed) to build

Stochastic Adversarial Video Prediction

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

Generate Cartoon Images using Generative Adversarial Network

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)

gail, infogail, hierarchical gail implementations

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Handwritten Chinese Characters Generation

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

My pytorch implementation for GAN

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

A python ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Used for the paper "Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features", published in ICFHR2018.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Text to image synthesis using thought vectors