Generating aerial flood prediction imagery with generative adversarial networks
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Updated
Jul 16, 2024 - Python
Generating aerial flood prediction imagery with generative adversarial networks
Computational DeFogging framework building off of previous research. U of U Summer Program for Undergraduate Research (SPUR) 2024.
Generative_Image_Rotation: Using Pix2Pix cGAN to transform randomly oriented Protoplanetary Disk images into standardized face-on views for astronomical research.
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
A modern rewrite of the Pix2Pix architecture in pytorch. Basic backbones updated for attention and the usual new practices.
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络(GAN,Generative Adversarial Network)图像生成的理论与实践研究。
Image-to-Image Translation in PyTorch
Generate your own Star Wars 🚀🌟 Lego figures from your favorite images using AI. 🎨🤖
Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to enable accurate object delineation for applications like disaster response and environmental monitoring.
A project to colourize gray scale photo using generative adversial network (GAN)
The repository for the Tallahassee, FL crime map project using GAN.
Links to my works, where a variety of generative models are implemented using TensorFlow and PyTorch. Among the implemented models are Autoencoder, VAE, GAN, Pix2Pix, among others.
This repository contains the GAN programs that we implemented for the TCIRRP dataset as part of mini project in university.
Repository for the "Machine Learning for the Web" class at ITP, NYU
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