Topic: cgan Goto Github
Some thing interesting about cgan
Some thing interesting about cgan
cgan,Spectral Normalization and Projection Discriminator
User: balansky
cgan,Unofficial implement with paper SpeakerGAN: Speaker identification with conditional generative adversarial network
Organization: bashbaha
cgan,MXNet Implementation of DCGAN, Conditional GAN, pix2pix
User: bowenc0221
cgan,Deep learning classifier and image generator for building architecture.
User: carolineh101
cgan,Eliminate metal artifacts from CT images Semi-supervised learning
User: chenboyam
cgan,Generating Photorealistic Facial Images with specified emotions using CGAN.
User: dikshantsagar
cgan,Colorizing Victorian Illustrations with the Victorian400 Dataset | by Hoyeol Kim
User: elibooklover
cgan,GAN models with Anime.
User: fangyang970206
cgan,Using Deep Learning to create fake images of games using PyTorch
User: gcervantes8
cgan,GANs Implementations in Keras
User: germain-hug
cgan,A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.
User: ghunkins
cgan,Chainer implementation of the paper Robust Conditional Generative Adversarial Networks
User: grigorisg9gr
cgan,Beginner's Guide to building GAN from scratch with Tensorflow and Keras
User: hklchung
cgan,All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
User: hollobit
cgan,Collection of generative models in Tensorflow
User: hwalsuklee
cgan,GAN Step By Step -- GSBS,顾名思义,我希望我自己能够一步一步的学习GAN。GAN 又名 生成对抗网络,是最近几年很热门的一种无监督算法,他能生成出非常逼真的照片,图像甚至视频。GAN是一个图像的全新的领域,从2014的GAN的发展现在,在计算机视觉中扮演这越来越重要的角色,并且到每年都能产出各色各样的东西,GAN的理论和发展都蛮多的。我感觉最近有很多人都在学习GAN,但是国内可能缺少比较多的GAN的理论及其实现,所以我也想着和大家一起学习,并且提供主流框架下 **pytorch,tensorflow,keras** 的一些实现教学。 在一个2016年的研讨会,`杨立昆`描述生成式对抗网络是“`机器学习这二十年来最酷的想法`”。
User: kedreamix
cgan,Awesome Generative Adversarial Networks with tensorflow
User: kozistr
cgan,[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
User: kwotsin
cgan,Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
User: mafda
cgan,cGAN-based Multi Organ Nuclei Segmentation
Organization: mahmoodlab
cgan,Implementation of Conditional Generative Adversarial Networks in PyTorch
User: malzantot
cgan,This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.
User: mingtaoguo
cgan,Age Conditional GAN with ResNet Face Descriptors based on DLib, Keras, and TFRecords.
User: mustafa-qamaruddin
cgan,An unofficial PyTorch implementation of SNGAN (ICLR 2018) and cGANs with projection discriminator (ICLR 2018)
User: neuralchen
cgan,Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning
User: panagiotou
Home Page: https://www.mdpi.com/2072-4292/12/12/2002
cgan,Procedural 3D Terrain Generation using Generative Adversarial Networks
User: panagiotou
cgan,Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.
User: ppplinday
cgan,Synthesizing Fingerprint from Pattern Type Analysis Features using cGAN - WITC 2019
User: prodeveloper0
cgan,Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)
User: ruiliu-ai
cgan,From scratch, simple and easy-to-understand Pytorch implementation of variants of generative adversarial network (GAN). Implemented variants: Conditional GAN (cGAN), DCGAN, LSGAN. Datasets used MNIST, SVHN, FashionMNIST, CIFAR10, CelebA, LSUN-Bedroom, LSUN-Church.
User: s-chh
cgan,Generate 256x256, 512x512 resolution images with simple Convolutional GAN by adding Gaussian noise to discriminator layers.
User: shivamshrirao
Home Page: https://wandb.ai/shivamshrirao/facegan_pytorch
cgan,The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
User: sian-chen
cgan,cGAN-based Manga Colorization Using a Single Training Image.
User: sudheerachary
cgan,Comic Colorization with cGAN
User: tried42long
cgan,Generative adversarial approach to text classification
User: virtualroyalty
cgan,Dress styles generation using GANs using TensorFlow
User: vnyk
cgan,mxnet implement for Conditional Wasserstein GAN
User: vsooda
cgan,Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
User: wangguanan
cgan,Conditional Generative Adversarial Networks(cgans) to convert text to image implemented in Python and TensorFlow & Keras
User: yigitgunduc
cgan,Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
User: yiyang7
cgan,:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译,条件GAN,AI绘画
User: youyuge34
Home Page: https://arxiv.org/abs/1903.10146
cgan,Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
User: yudidong
Home Page: http://arxiv.org/abs/2006.11435
cgan,MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
User: zcemycl
cgan,Collection of generative models in Pytorch version.
User: znxlwm
cgan,Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
User: znxlwm
cgan,Pytorch implementation of pix2pix for various datasets.
User: znxlwm
cgan,Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
User: znxlwm
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