64 Open source projects that are alternatives of or similar to Pluralistic Inpainting

Learning Chinese Character style with conditional GAN

Project Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'

Guided Conditional Wasserstein GAN for De Novo Protein Design

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 !

Research Framework for easy and efficient training of GANs based on Pytorch

Semi-supervised Learning GAN

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

Codes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17

An implementation of DiscoGAN in tensorflow

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"

This is a pix2pix demo that learns from edge and translates this into view. A interactive application is also provided that translates edge to view.

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

SteganoGAN is a tool for creating steganographic images using adversarial training.

[CVPR 2022] StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Periodic Spatial Generative Adversarial Networks

Implementation of Papers on Adversarial Examples

Deep Learning in Haskell

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

Code and Data Release for GenRe (NeurIPS 2018) and ShapeHD (ECCV 2018)

[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks

papers and codes about GAN

DGMs for NLP. A roadmap.

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

No description or website provided.

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Collection of generative models in Tensorflow

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

CFG-GAN: Composite functional gradient learning of generative adversarial models

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Invert the color of MNIST images with PyTorch

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

Official Implementation for "Only a Matter of Style: Age Transformation Using a Style-Based Regression Model"

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Pytorch implementation of Generated Image Quality Assessment

tensorflow2.x implementations of Generative Adversarial Networks.

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Pytorch implementation of pix2pix for various datasets.

GAN model using PyTorch

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

Keras implementations of Generative Adversarial Networks.

A high-level framework for advanced deep learning with TensorFlow

PyTorch implementation of CycleGAN

GAN in Tensorflow to be run via Linux command line

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

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Generative Adversarial Transformers

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

A PyTorch implementation of alpha-GAN