conditional-gan topic
progressive-growing-of-gans.pytorch
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
sige
[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Everybody-dance-now
Implementation of paper everybody dance now for Deep learning course project
MTGAN
Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)
ZSD-SC-Resolver
Resolving semantic confusions for improved zero-shot detection (BMVC 2022)
pix2pix
This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.
conditional-GAN
Pytorch implementation of Conditional-GAN (CGAN)
PyTorch-GAN-Variants
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,...