Generating aerial flood prediction imagery with generative adversarial networks
-
Updated
Jun 11, 2024 - Python
Generating aerial flood prediction imagery with generative adversarial networks
Artificial Intelligence
Seminar project Unsupervised Image-to-Image translation using GANs
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
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.
💻 🐈 Added a self-attention layer to the CycleGAN implementation (PyTorch).
Image Domain Transfer with CycleGAN
🌱 SNE-RoadSeg in PyTorch, ECCV 2020 by Rui (Ranger) Fan & Hengli Wang, but now we have improved it.
Image-to-Image Translation in PyTorch
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch
PyTorch Implementation of paper titled "D2BGAN: A Dark to Bright Image Conversion Model for Quality Enhancement and Analysis Tasks Without Paired Supervision"
CycleGAN for Scenery to Pixel Art Generation
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.
ICASSP 2024. A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification.
Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021, oral.
This repository contains the GAN programs that we implemented for the TCIRRP dataset as part of mini project in university.
Add a description, image, and links to the cyclegan topic page so that developers can more easily learn about it.
To associate your repository with the cyclegan topic, visit your repo's landing page and select "manage topics."