Project based on Neural Style Transfer, implemented using a CycleGan architecture
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Updated
Mar 19, 2024 - Python
Project based on Neural Style Transfer, implemented using a CycleGan architecture
A custom trained GAN model that converts human faces to animated ones
Generative Adversarial Network that generates 7,000 to 10,000 Monet-style images.
A tensorflow2 implementation of CycleGAN.
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
Patch-based 3D Cycle-GAN for volumetric medical image synthesis
2021.4.~10. 표준협회 인공지능 프로젝트
Pix2Pix and CycleGAN generative adversarial networks (GANs) to convert thermal to visible images using TensorFlow
Trabajo Fin de Grado de Ingeniería de Computadores: Generación de cuadros impresionistas mediante Redes Neuronales.
The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.
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.
Implementation of GAN architectures for Voice Conversion
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