conditional-gan
There are 142 repositories under conditional-gan topic.
znxlwm/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
GANs-in-Action/gans-in-action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
amanchadha/coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Yangyangii/GAN-Tutorial
Simple Implementation of many GAN models with PyTorch.
gordicaleksa/pytorch-GANs
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
lmxyy/sige
[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
zhangqianhui/Conditional-GAN
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
moein-shariatnia/Deep-Learning
In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
znxlwm/tensorflow-MNIST-cGAN-cDCGAN
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
znxlwm/pytorch-pix2pix
Pytorch implementation of pix2pix for various datasets.
soochan-lee/MR-GAN
Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)
SharifAmit/RVGAN
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
dvlab-research/SCGAN
The implementation of 'Image synthesis via semantic composition', ICCV2021.
crisbodnar/text-to-image
Text to Image Synthesis using Generative Adversarial Networks
tlatkowski/gans-2.0
Generative Adversarial Networks in TensorFlow 2.0
bchao1/Anime-Generation
🎨 Anime generation with GANs.
togheppi/cDCGAN
PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
FangYang970206/Anime_GAN
GAN models with Anime.
RahulBhalley/progressive-growing-of-gans.pytorch
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
andi611/Conditional-SeqGAN-Tensorflow
Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow
astra-vision/ManiFest
Few-shot image translation method working on unstructured environments. ECCV 2022
qbxlvnf11/conditional-GAN
Pytorch implementation of Conditional-GAN (CGAN)
yunchenlo/Font2Font
An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning.
LuChang-CS/MTGAN
Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)
LukasMosser/geogan
Conditioning of three-dimensional geological and pore scale generative adversarial networks
Ling-Bao/ACSCP_cGAN
Code implementation for paper that "ACSCS: Crowd Counting via Adversarial Cross-Scale Consistency Pursuit"; This is method of Crowd counting by conditional generation adversarial networks
shantanu1109/Coursera-DeepLearning.AI-GANs-Specialization
This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman
hrithickcodes/pix2pix
This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.
soumik12345/Pix2Pix
Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0
Vishwesh4/Everybody-dance-now
Implementation of paper everybody dance now for Deep learning course project
sandipan211/ZSD-SC-Resolver
Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
thtang/ADLxMLDS2017
Deep learning works for ADLxMLDS (CSIE 5431) in NTU
neuralchen/SNGAN_Projection
An unofficial PyTorch implementation of SNGAN (ICLR 2018) and cGANs with projection discriminator (ICLR 2018)
RQuispeC/pytorch-ACSCP
Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018
sangwoomo/GOLD
Mining GOLD Samples for Conditional GANs (NeurIPS 2019)