Multi-modal fusion techniques for generating images using cityscapes dataset
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Updated
Jan 7, 2021 - Python
Multi-modal fusion techniques for generating images using cityscapes dataset
An implementation of the Pix2Pix generative adversarial network on anime faces and their edges.
Implementation of various image-to-image translation models for photoacoustic imaging reconstruction.
The code to evaluate on label2city task.
Reimplementation of papers on DCGAN and CycleGAN.
This is a project for developing and evaluating models that do translation from B&W to colored images using machine learning and deep learning
Implementation of a latent diffusion model to generate satellite views from ground views in the CVPR dataset.
A sketch to face image translation model which uses Contextual GANs, GFPGANs and DeOldify to generate results.
PyTorch implementation of Dark Side Augmentation
Official pytorch implementation of I2I translation with low resolution conditioning
A group research in associate with Abhijeet Chauhan and Fan Mo from the University of Carleton.
Unpaired Image-to-Image Translation using Cycle-consistent Adversarial Networks
Uncertainty Guided Progressive GANs for Medical Image Translation
This repository contains the source code of our paper: Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer.
An experiment on pix2pix GAN
Official PyTorch implementation of Deep Residual Inception Encoder-Decoder Network for Amyloid PET Harmonization
Multimodal edges to image translation
Easy to use general purpose implementation of pix2pix model in tensorflow to train for image to image translation
Pix2Pix GAN - Paired Image Translation
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