Emoji Synthesis using Generative Adverserial Networks
-
Updated
Dec 8, 2017 - Python
Emoji Synthesis using Generative Adverserial Networks
A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
A heuristic based on genetic algorithm designed to generate SVG images from raster ones.
Image Caption and Text to Image papers.
synthesize MR brain images via a random forest
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Example-based Image Synthesis
an amalgam of (non-DNN-based) MR brain synthesis routines
Visualize the internal activations of a DCGAN when generating and discriminating MNIST images.
MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
A TensorFlow implementation of a simple Novel View Synthesis model on ShapeNet (cars and chairs), KITTI, and Synthia.
Text to Image Synthesis using Generative Adversarial Networks
TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "
A 2D/3D L-System rendering program/library written in Common Lisp.
Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"
Code to generate G_seg, G_pos and G_app images from "Example-Based Synthesis of Stylized Facial Animations" by JAKUB FIŠER et al.
Add a description, image, and links to the image-synthesis topic page so that developers can more easily learn about it.
To associate your repository with the image-synthesis topic, visit your repo's landing page and select "manage topics."