530 Open source projects that are alternatives of or similar to publications-arruda-ijcnn-2019

Generative Adversarial Networks in TensorFlow 2.0

Pytorch implementation of CycleGAN.

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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..

Pytorch implementation of BicycleGAN with implementation details

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

Tensorflow implementation of CycleGAN

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

An implementation of CycleGan using TensorFlow

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

A clean and readable Pytorch implementation of CycleGAN

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Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

Image-to-Image Translation in PyTorch

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

Colorization of grayscale images using CycleGAN in TensorFlow.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Stochastic Adversarial Video Prediction

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.

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

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

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Tensorflow implementation for Conditional Convolutional Adversarial Networks.

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

A curated list of dedicated resources and applications

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

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.

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

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

Everything about Generative Adversarial Networks

Coherent Semantic Attention for image inpainting(ICCV 2019)

Models generated by CycleGAN

A collection of arbitrary text to image papers with code (constantly updating)

Stacked Generative Adversarial Networks

Auxiliary Classifier Generative Adversarial Networks in Keras

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Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

A clean and lucid implementation of cycleGAN using PyTorch

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(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Collection of generative models in Pytorch version.

A stable algorithm for GAN training

This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

Semi-supervised GAN in "Improved Techniques for Training GANs"

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

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Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"

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This repository holds a small framework to evaluate unsupervised domain adaptation methods in combination with a CenterNet object detection network.