1117 Open source projects that are alternatives of or similar to Focal Frequency Loss

Collection of generative models in Tensorflow

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

T2F: text to face generation using Deep Learning

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

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

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

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Awesome Generative Adversarial Networks with tensorflow

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

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

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

A clean and readable Pytorch implementation of CycleGAN

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

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

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

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

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Projecting images to latent space with StyleGAN2.

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Pytorch implementation of MixNMatch

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Next RecSys Library

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

Masking GAN - Image attribute mask generation

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

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

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

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

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

Advanced Deep Learning with Keras, published by Packt

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

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

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

🙄 Difficult algorithm, Simple code.

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

The implementation of Relativistic average GAN with Keras

Continious Generative Adversarial Network

An AI for Music Generation

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

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

Bringing Old Photo Back to Life (CVPR 2020 oral)

An implementation of CycleGan using TensorFlow

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Composable GAN framework with api and user interface

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

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

chainer implementation of pix2pix

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

Spectral Normalization for Keras Dense and Convolution Layers

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Generative Adversarial Networks in Keras

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN