Fog Simulation using Generative Adversarial Networks (GAN). This code is the implementation of the master thesis Simulating Weather Conditions on Digital Images. It uses a modified CycleGAN model to synthesize fog on clear images.

Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.

The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.

Project based on Neural Style Transfer, implemented using a CycleGan architecture

Patch-based 3D Cycle-GAN for volumetric medical image synthesis

Trabajo Fin de Grado de Ingeniería de Computadores: Generación de cuadros impresionistas mediante Redes Neuronales.

Generative Adversarial Network that generates 7,000 to 10,000 Monet-style images.

2021.4.~10. 표준협회 인공지능 프로젝트

Pix2Pix and CycleGAN generative adversarial networks (GANs) to convert thermal to visible images using TensorFlow

A tensorflow2 implementation of CycleGAN.

A custom trained GAN model that converts human faces to animated ones

Implementation of GAN architectures for Voice Conversion