All Projects → zhangqianhui → Conditional Gan

zhangqianhui / Conditional Gan

Licence: mit
Tensorflow implementation for Conditional Convolutional Adversarial Networks.

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Conditional Gan

Pix2pix
Image-to-image translation with conditional adversarial nets
Stars: ✭ 8,765 (+4239.11%)
Mutual labels:  generative-adversarial-network, image-generation
Mlds2018spring
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-38.61%)
Mutual labels:  generative-adversarial-network, image-generation
Dcgan Tensorflow
A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-65.35%)
Mutual labels:  generative-adversarial-network, image-generation
Data Efficient Gans
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Stars: ✭ 682 (+237.62%)
Mutual labels:  generative-adversarial-network, image-generation
Focal Frequency Loss
Focal Frequency Loss for Generative Models
Stars: ✭ 141 (-30.2%)
Mutual labels:  generative-adversarial-network, image-generation
Contrastive Unpaired Translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (+306.93%)
Mutual labels:  generative-adversarial-network, image-generation
Lggan
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-51.98%)
Mutual labels:  generative-adversarial-network, image-generation
Selectiongan
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (+81.19%)
Mutual labels:  generative-adversarial-network, image-generation
Unetgan
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Stars: ✭ 139 (-31.19%)
Mutual labels:  generative-adversarial-network, image-generation
Gesturegan
[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (-32.67%)
Mutual labels:  generative-adversarial-network, image-generation
Pytorch Cyclegan
A clean and readable Pytorch implementation of CycleGAN
Stars: ✭ 558 (+176.24%)
Mutual labels:  generative-adversarial-network, image-generation
Mmediting
OpenMMLab Image and Video Editing Toolbox
Stars: ✭ 2,618 (+1196.04%)
Mutual labels:  generative-adversarial-network, image-generation
Hidt
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (+153.96%)
Mutual labels:  generative-adversarial-network, image-generation
Multi Viewpoint Image Generation
Given an image and a target viewpoint, generate synthetic image in the target viewpoint
Stars: ✭ 23 (-88.61%)
Mutual labels:  generative-adversarial-network, image-generation
Anycost Gan
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (+81.68%)
Mutual labels:  generative-adversarial-network, image-generation
Ganspace
Discovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+505.94%)
Mutual labels:  generative-adversarial-network, image-generation
MNIST-invert-color
Invert the color of MNIST images with PyTorch
Stars: ✭ 13 (-93.56%)
Mutual labels:  generative-adversarial-network, image-generation
Few Shot Patch Based Training
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (+54.95%)
Mutual labels:  generative-adversarial-network, image-generation
Cyclegan
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+5312.38%)
Mutual labels:  generative-adversarial-network, image-generation
Tsit
[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
Stars: ✭ 141 (-30.2%)
Mutual labels:  generative-adversarial-network, image-generation

Conditional-Gans

The test code for Conditional Generative Adversarial Nets using tensorflow.

INTRODUCTION

Tensorflow implements of Conditional Generative Adversarial Nets.The paper should be the first one to introduce Conditional GANS.But they did not provide source codes.My code has some differences comparing the paper:The Gans is based on Convolution network and the code refer to DCGAN.

Prerequisites

  • tensorflow >=1.0

  • python 2.7

  • opencv 2.4.8

  • scipy 0.13

Usage

Download mnist:

$ python download.py mnist

Train:

$ python main.py --op 0

Test:

$ python main.py --op 1

Visualization:

$ python main.py --op 2

GIF:

$ python make_gif.py

Result on mnist

Visualization:

the visualization of weights:

the visualization of activation:

Reference code

DCGAN

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].