All Projects → GunhoChoi → DiscoGAN-TF

GunhoChoi / DiscoGAN-TF

Licence: other
Tensorflow Implementation of DiscoGAN

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to DiscoGAN-TF

Pytorch models
PyTorch study
Stars: ✭ 14 (-75.44%)
Mutual labels:  generative-adversarial-network
TF2-GAN
🐳 GAN implemented as Tensorflow 2.X
Stars: ✭ 61 (+7.02%)
Mutual labels:  generative-adversarial-network
gan deeplearning4j
Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Stars: ✭ 19 (-66.67%)
Mutual labels:  generative-adversarial-network
bmusegan
Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”
Stars: ✭ 58 (+1.75%)
Mutual labels:  generative-adversarial-network
progressive growing of GANs
Pure tensorflow implementation of progressive growing of GANs
Stars: ✭ 31 (-45.61%)
Mutual labels:  generative-adversarial-network
hyperstyle
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Stars: ✭ 874 (+1433.33%)
Mutual labels:  generative-adversarial-network
timegan-pytorch
This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
Stars: ✭ 46 (-19.3%)
Mutual labels:  generative-adversarial-network
DCGAN-Pytorch
A Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 23 (-59.65%)
Mutual labels:  generative-adversarial-network
Introduction-to-Deep-Learning-and-Neural-Networks-Course
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
Stars: ✭ 33 (-42.11%)
Mutual labels:  generative-adversarial-network
Sketch2Color-anime-translation
Given a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
Stars: ✭ 90 (+57.89%)
Mutual labels:  generative-adversarial-network
CIPS-3D
3D-aware GANs based on NeRF (arXiv).
Stars: ✭ 562 (+885.96%)
Mutual labels:  generative-adversarial-network
PESR
Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
Stars: ✭ 28 (-50.88%)
Mutual labels:  generative-adversarial-network
ST-CGAN
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Stars: ✭ 64 (+12.28%)
Mutual labels:  generative-adversarial-network
Deep-Fakes
No description or website provided.
Stars: ✭ 88 (+54.39%)
Mutual labels:  generative-adversarial-network
DeepSIM
Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Stars: ✭ 389 (+582.46%)
Mutual labels:  generative-adversarial-network
MAD-GAN-MLCAMP
Repository for MAD-GAN Paper done in ML CAMP Jeju
Stars: ✭ 17 (-70.18%)
Mutual labels:  generative-adversarial-network
path planning GAN
Path Planning using Generative Adversarial Network (GAN)
Stars: ✭ 36 (-36.84%)
Mutual labels:  generative-adversarial-network
pytorch-GAN
My pytorch implementation for GAN
Stars: ✭ 12 (-78.95%)
Mutual labels:  generative-adversarial-network
ganbert
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+259.65%)
Mutual labels:  generative-adversarial-network
coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+385.96%)
Mutual labels:  generative-adversarial-network

DiscoGAN in Tensorflow

Tensorflow implementation of Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

Requirements

  • Tensorflow 1.0.1
  • Python 3.5.2
  • Pillow
  • wget

Download code

git clone https://github.com/GunhoChoi/DiscoGAN_TF.git
cd DiscoGAN_TF

Download Image

python3 down_resize_crop.py

Train Model

python3 DiscoGAN.py

Result

under training..

Insight

In order to get better results, the generator needs to be smarter than discriminator. Also, greater latent size of generator is required in order to get better generated images.

Links

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].