Chinese Landscape Painting style transfer by adversarial network（中国山水画风格化）

Minimalist Pix2Pix implementation in pytorch

Implemented a pix2pix GAN to enhance the underwater visual data.

Using Pix2Pix GAN for translating Anime images to something more aesthetic

converting the sketch face image into real picture

MRI2CT-Pix2Pix is a deep learning project that uses a Pix2Pix generative adversarial network (GAN) to translate MRI images into corresponding CT images, enabling cross-modality medical image synthesis.

Pytorch Implementation of Pix2PixGAN

PyTorch implementation of various GAN architectures.

A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.

Colorization of Image with Generative Adversarial Network (Pix2Pix).

Implemented basic deep learning models using PyTorch

Create Pix2Pix quick!, The Pix2Pix GAN is a general approach for image-to-image translation. It is based on the conditional generative adversarial network, where a target image is generated, conditional on a given input image. In this case, the Pix2Pix...

Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty

My first Model, convert Images to Drawings

Using PIX2PIX for Synthesizing Computerized Tomographic Medical Images

Colorization using ab channel averaging during training.

End-to-end MLOps pipeline for Sentinel-1 (SAR) to pseudo Sentinel-2 (RGB) image colorization using CycleGAN. Features a GCP-based workflow with MLflow, Docker, GitHub Actions (CI/CD), and a Streamlit app deployed to Cloud Run. 🚀

pix2pix general adversial network, testing on aerial to map data set