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
Generating Maps from Satellite images using the Pix2Pix GAN.
Analysis of different models for mobile ocular biometrics.
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
This project explores and implements a state-of-the-art approach for automatic image recolorization using Conditional Generative Adversarial Networks (cGANs).
This repo is about an image enhancement
An Image colorization algorithm using PatchGan and Convolution Block Attention Modules (CBAM)
Generate Faces Using Deep Convolutional Generative Adversarial Networks (DCGAN)
Using Pix2Pix GAN for translating Anime images to something more aesthetic
This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman
Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture
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