550 Open source projects that are alternatives of or similar to Natsr

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Unofficial pytorch implementation of algorithms for domain adaptation

Conditional GAN for Anime face generation.

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

A generic framework which implements some famouts super-resolution models

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

🤖A list of resources to help anyone getting started with GANs 🤖

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

No description or website provided.

Spectral Normalization for Keras Dense and Convolution Layers

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Curated list of awesome GAN applications and demo

天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码，EDVR、WDSR、ESRGAN三个模型。

Scale-wise Convolution for Image Restoration

Synthetic Data Generation for mixed-type, multivariate time series.

Tensorflow implementation of CycleGAN

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

Official repository of FISR (AAAI 2020).

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

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"

Given an image and a target viewpoint, generate synthetic image in the target viewpoint

Tensorflow-based framework to ease training of generative models

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

My pytorch implementation for GAN

videos, lectures, blogs for Deep Learning

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

Efficient & Generic Video Super-Resolution

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.

Image-to-image translation with conditional adversarial nets

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

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

🐳 GAN implemented as Tensorflow 2.X

TOFlow: Video Enhancement with Task-Oriented Flow

ImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.

3D super-resolution using Generative Adversarial Networks

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

All image quality metrics you need in one package.

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

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

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

A Survey on Text-to-Image Generation/Synthesis.

C++ Implementation of PyTorch Tutorials for Everyone

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Automatic feature engineering using Generative Adversarial Networks using TensorFlow.

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

Create Anime Characters with MakeGirlsMoe

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)