ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
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Updated
Sep 6, 2024 - Python
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
A collection of generative model implementations
Progressive GAN on Celeb-A dataset
🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
NVIDIA's Progressive GAN, implemented in PyTorch
Progressive GANによる画像生成器
[ICML 2021] "Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation" by Jiawei Zhang*, Linyi Li*, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li
Flax (JAX) implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation
Unsupervised way for Pose guided Anime Video Generation using Generative Adversarial Networks.
PyTorch implementation of Progressive of GANs for augmenting skin lesion dataset
Major GANs are implemented in this repository 🔥
A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)
Progressive Growing of GANS
Pure tensorflow implementation of progressive growing of GANs
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