Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
A torch implementation of "Pixel-Level Domain Transfer"
A modern deep learning framework built to accelerate research and development of AI systems
The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
Measures and metrics for image2image tasks. PyTorch.
GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Simple Implementation of many GAN models with PyTorch.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
(CVPR 2019 Oral) Style Transfer with Geometric Deformation
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
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.
Sketch-Based 3D Exploration with Stacked Generative Adversarial Networks
Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"
Summaries of machine learning papers
See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing
pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
Multimodal Unsupervised Image-to-Image Translation
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
Deep fake ready to train on any 2 pair dataset with higher resolution
Generative Adversarial Network for MNIST with tensorflow
A stable algorithm for GAN training
Adversarial video summary
Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
Attentive Gan Derainnet
Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/
StoryGAN: A Sequential Conditional GAN for Story Visualization
Image De-raining Using a Conditional Generative Adversarial Network
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 !
Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
A pure PHP library for reading and writing project management files
A DCGAN that generate Cat pictures 🐱💻
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Machine Learning Is All You Need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
ECCV 2018 "T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks"
Tensorflow Mnist Gan Dcgan
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
An implementation of Pix2Pix in Tensorflow for use with frames from films
Transparent latent gan
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit