DiscoGAN
Image translator
An implementation of cross-domain relation discovery using Generative Adversarial Networks (GANs) to translate images between domains
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
773 stars
26 watching
171 forks
Language: Python
last commit: over 3 years ago Related projects:
Repository | Description | Stars |
---|---|---|
zsdonghao/unsup-im2im | A framework for unsupervised image-to-image translation using Generative Adversarial Networks (GANs) and deep learning. | 73 |
jerryli27/twingan | A framework for unpaired cross-domain image translation using GANs with adaptive normalization parameters and weight-sharing. | 719 |
zsdonghao/text-to-image | A TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture | 599 |
taoxugit/attngan | Reproduces text-to-image generation with attentional generative adversarial networks. | 1,339 |
junyanz/bicyclegan | A PyTorch implementation of an image-to-image translation model that generates new images from paired training data. | 1,486 |
reedscot/icml2016 | Generates synthetic images from text descriptions using a Generative Adversarial Network (GAN) | 913 |
hanzhanggit/stackgan | A PyTorch implementation of a generative adversarial network for image synthesis from text descriptions | 1,860 |
mingyuliutw/unit | An unsupervised deep learning framework for translating images between different modalities | 1,988 |
tensorlayer/dcgan | A deep learning implementation of a generative adversarial network for generating images from text descriptions. | 339 |
williamyang1991/gp-unit | This implementation enables unsupervised translation between two domains with drastic visual discrepancies using a Generative Prior-guided approach. | 192 |
carpedm20/discogan-pytorch | A PyTorch implementation of a Generative Adversarial Network (GAN) for discovering cross-domain relations. | 1,084 |
mrzhu-cool/pix2pix-pytorch | A PyTorch implementation of an image-to-image translation algorithm using conditional adversarial networks | 425 |
williamfalcon/pix2pix-keras | An implementation of an image-to-image translation algorithm using a neural network architecture | 140 |
hanzhanggit/stackgan-v2 | Software framework for training and evaluating generative models of images and text based on adversarial networks | 843 |
mattya/chainer-dcgan | Generates images using a Deep Convolutional Generative Adversarial Network (DCGAN) algorithm | 935 |