537 Open source projects that are alternatives of or similar to GraphCNN-GAN

A sketch extractor for anime/illustration.

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

3D-aware GANs based on NeRF (arXiv).

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

Tensorflow Implementation of DiscoGAN

this repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation

No description or website provided.

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

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

OpenGL Based Python Library for 3D visualization of Point Clouds & Depth Maps

Repository for MAD-GAN Paper done in ML CAMP Jeju

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

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

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Building Virtual Reality Worlds using Three.js

This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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

A basic and simple tool for code auto completion

Stochastic Adversarial Video Prediction

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

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

🤖🖌️ 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.

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

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

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Generate image from text with Generative Adversarial Network

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

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

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Image-to-Image Translation in PyTorch

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

On the "steerability" of generative adversarial networks

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Path Planning using Generative Adversarial Network (GAN)

SMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

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

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

🐳 GAN implemented as Tensorflow 2.X

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

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

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.

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

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.

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

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"

A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Implementation of Conditional Generative Adversarial Networks in PyTorch

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

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

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