This repo is about an image enhancement
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Updated
Nov 14, 2024 - Jupyter Notebook
This repo is about an image enhancement
This project explores and implements a state-of-the-art approach for automatic image recolorization using Conditional Generative Adversarial Networks (cGANs).
Generating Maps from Satellite images using the Pix2Pix GAN.
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
Project based on Neural Style Transfer, implemented using a CycleGan architecture
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
Generate Faces Using Deep Convolutional Generative Adversarial Networks (DCGAN)
An Image colorization algorithm using PatchGan and Convolution Block Attention Modules (CBAM)
Using Pix2Pix GAN for translating Anime images to something more aesthetic
Analysis of different models for mobile ocular biometrics.
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