PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512
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Updated
Nov 26, 2024 - Python
PyTorch implementation of 'PGGAN' (Karras et al., 2018) from scratch and training it on CelebA-HQ at 512 × 512
Convolutional autoencoder able to change image attributes
TobaHackathon 2021 のチーム Gelpus の作品のレポジトリです。
A python abstraction for Progressively Trained Generative Adversarial Network (PGGAN) training based on PyTorch.
Pytorch implementations of GANs
Pytorch implementation of progressive growing gan
Progressively growing of GANs Pytorch Implementation
A straightforward implementation for Progressive Growing of GANs
Implementation of NVIDIA's Progressive Growing of GANs
This is repository teaching PyTorch1.0.
A collection of deep learning models (PyTorch implemtation)
本科毕业设计:针对Deepfake假脸视频面部细节特征的提取算法
A TF 2.0 implementation of Progressive growing of GANs
Pure tensorflow implementation of progressive growing of GANs
A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)
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